ENGINEERING RESEARCH PAPERS

big data IEEE PAPER 2016




When to use 3D Die-Stacked Memory for Bandwidth-Constrained Big Data Workloads
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Abstract Response time requirements for big data processing systems are shrinking. To meet this strict response time requirement, many big data systems store all or most of their data in main memory to reduce the access latency. Main memory capacities have grown,

Marketing Science and Big Data
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Marketing science has a long tradition of embrac-ing new challenges, new methods, and new disciplines. The field today is built upon the diverse efforts of researchers who, for almost 50 years, have synthesized solutions from a variety of disciplines to provide new

Big Data Analytics-enabled Supply Chain Transformation: A Literature
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Abstract Despite the rising potential of big data, a few studies have been conducted to examine it in the supply chain field. This article gives an overview of big data use in this field and underlines its potential role in the supply chain transformation by leading a systematic

Big Data Tsunami at the Interface of Statistics, Environmental Sciences and Beyond
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The rampant growth of digital technologies and information storage have revolutionized the volume, velocity and variety of collected information, leading to the so-called Big Data paradigm. In turn, this alters the way in which scientists sense and analyze the available

Big data research in information systems: toward an inclusive research agenda
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Abstract: Big data has received considerable attention from the information systems (IS) discipline over the past few years, with several recent commentaries, editorials, and special issue introductions on the topic appearing in leading IS outlets. These papers present

Two Ways of Knowing: Big Data and Evidence-Based Medicine.
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Evidence-based medicine (EBM) is more than 20 years old (1). Although EBM's painstaking path of careful clinical studies, critical appraisal of published evidence, and methodologically rigorous systematic reviews has been the template for knowing what

Analyzing big remote sensing data via symbolic machine learning
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ABSTRACT This paper discusses the applicability of a recently introduced classification method for Earth Observation data and justifies its eligibility in the framework of Big Data processing and analysis. The main novelty that this classifier brings forward in the Remote

A Review toward Powers of Big Data
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Abstract-Big Data applies to data that can't be prepared or broke down utilizing customary procedures or devices. For decades, organizations have been settling on business choices in light of value-based information put away into relational databases. In any case, there is

Team dynamics: Using big data to advance the science of team effectiveness
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Many influences have shaped the nature of organizational science during the transition from the 20th to the 21st century, but arguably two influences have been significantly trans formative . First, groups and teams research migrated from their

Quickr: Lazily Approximating Complex Ad-Hoc Queries in Big Data Clusters
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ABSTRACT We present a system that approximates the answer to complex adhoc queries in big-data clusters by injecting samplers on-the-fly and without requiring pre-existing samples. Improvements can be substantial when big-data queries take multiple passes over data

Safe Memory Regions for Big Data Processing
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Abstract Recent work in high-performance systems written in managed languages (such as Java or C#) has shown that garbagecollection can be a significant performance bottleneck. A class of these systems, focused on big-data, create many and often large data structures

Harnessing big-data for estimating the energy consumption and driving range of electric vehicles
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This study analyses the driving range and investigates the factors affecting the energy consumption rate of fully-battery electric vehicles under real-world driving patterns accounting for weather condition, drivers' characteristics, and road characteristics. Four

PInCom project: SaaS Big Data Platform for and Communication Channels
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Abstract:The problem of optimization will be addressed in this article, based on the premise that the successful implementation of Big Data solutions requires as a determining factor not only effective-it is assumed-but the efficiency of the responsiveness of

A Preliminary Analysis Model of Big Data for Prevention of Bioaccumulation of Heavy Metal-Based Pollutants: Focusing on the Atmospheric Data Analyses
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Abstract. In the Republic of Korea, the building-type fish and agricultural farms are expected to emerge in the town areas or suburbs. Developed farming technologies that employ water recirculation equipments or LED lights are becoming are becoming more common and

Making big sense from big data in toxicology by read-across.
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Summary Modern information technologies have made big data available in safety sciences, ie, extremely large data sets that may be analyzed only computationally to reveal patterns, trends and associations. This happens by (1) compilation of large sets of existing data, eg,

Big Data, Big Challenges
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The relatively rapid and recent adoption of electronic health records (EHRs) in ophthalmology 1, 2 has been associated with the promise that the accumulation of large volumes of clinical data would facilitate quality improvement and help to answer a variety

Intrusion Detection on Highly Imbalanced Big Data using Tree Based Real Time Intrusion Detection System: Effects and Solutions
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Abstract: Due to the increased digitalization of information, a huge amount of data is being generated. Information richness in such data has attracted researchers to this data. The major problem existing in real time data is that it is usually huge and is imbalanced. This

The Monte Carlo Supplement to" Big Data Analytics: A New Perspective
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This supplement provides a complete set of Monte Carlo (MC) findings in connection to the paper Chudik, Kapetanios, and Pesaran (2016, hereafter CKP). The Monte Carlo set up is described in Section 5 of CKP, and covers five sets of data generating processes (DGPs).

Big-Data Mechanisms and Energy-Policy Design
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Abstract A confluence of technical, economic and political forces are revolutionizing the energy sector. Policy-makers, who decide on incentives and penalties for possible courses of actions, play a critical role in determining which outcomes arise. However, designing

Scholarly Big Data Knowledge and Semantics
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Abstract With collections of scholarly documents having many millions of metadata such as authors, citations, tables, figures, equations, formulae, etc., how can we make sense of what this data means and how it can be effectively utilized What knowledge or semantics

Big-data or slim-data: predictive analytics will rule with world
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Predictive analytics encompasses a variety of statistical techniques from predictive modeling, machine learning, and data mining that analyze current and historical facts to make predictions about future, or otherwise unknown, events. 1 In medicine, the

Energy Efficient Scheduling of Map Reduce for Evolving Big Data Applications
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Abstract: In recent years the data mining applications become stale and obsolete over time. Energy wastage is the major problem more of the IT firms. More workload and more computational will increase high energy cost. Incremental processing is a promising This book presents valuable contributions devoted to practical and, in many cases, industrial applications of Machine Intelligence and Big Data in various branches of the industry. All the contributions are extended versions of presentations delivered at the Industrial Session of

A Feasibility Study on the Research Infrastructure Projects for the High-Speed Big DataProcessing Devices Using AHP
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Abstract This project is to strengthen the competitiveness of ICT devices used in a big data system, which will require the support of information about how to establish infrastructure which will enable to develop and test a large scale of computing devices and a kernel SW.

Automated Health Care Management System Using Big Data Technology
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Abstract–Generally Automation plays an important role in the global economy and in daily experience. The Automated Healthcare Management System is an automated system that is used to manage patient information and its administration. In existing system challenges

Detection of Damage and Failure Events of Critical Public Infrastructure using Social SensorBig Data
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1School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Drive, 30332-0355, Atlanta, GA, USA 2School of Computer Science, Georgia Institute of Technology, Atlanta, GA, USA 3Sam Nunn School of International Affairs,

MASSIVELY SCALABLE PARALLEL NEURAL NETWORKS: A BIG DATA EXPERIMENT
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Abstract As the cost of computer hardware goes down, the efficiency of processors and secondary storage continues to increase at a rapid pace. These conditions have led us to storing huge amounts of data, which is sometimes referred to as Big Data. The Neural

Brand Clustering Based on Social Big Data: A Case Study
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Abstract Since the Internet provides a common way for expressing and sharing people's ideas or minds, corporate marketers can gather data on the web to acquire measurable and actionable insights. As the smartphones are widely spread as hand-held devices, SNSs (

Big Data Analytics with Datalog Queries on Spark
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ABSTRACT There is great interest in exploiting the opportunity provided by cloud computing platforms for large-scale analytics. Among these platforms, Apache Spark is growing in popularity for machine learning and graph analytics. Developing efficient complex

Big Data: A Review of Challenges, Tools and Techniques
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ABSTRACT Big Data is the large amount of data that cannot be processed by making use of traditional methods of data processing. Due to widespread usage of many computing devices such as smartphones, laptops, wearable computing devices; the data processing

Using Behavioral Big Data for Public Purposes: Exploring Frontier Issues of an Emerging Policy Arena
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Executive Summary Much of the discussion of the socio-economic implications of behavioral data has focused on the inclusion of more citizens and more aspects of their lives within the sphere of control enabled by pervasive data collection. Effective public policy rests on

Implementation of Image Processing System using Handover Technique with Map Reduce Based on Big Data in the Cloud Environment
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Abstract: Cloud computing is the one of the emerging techniques to process the big data. Cloud computing is also, known as service on demand. Large set or large volume of data is known as big data. Processing big data (MRI images and DICOM images) normally takes

The Challenges of Precision Agriculture: Is Big Data the Answer
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*Selected Paper prepared for presentation at the Southern Agricultural Economics Association (SAEA) Annual Meeting, San Antonio, Texas, Readers may make Big data is one of the hottest research topics in science and technology communities, and it possesses a great potential in every sector for our society, such as climate, economy, health, social science, and so on. Big data is currently treated as data sets with sizes beyond the

Z604: The Social and Organizational Informatics of Big Data II Spring 2016 (1.5 cr.) Online
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The world is awash in digital data from the web, a wide range of sensor technologies, a wider range of information and communication technologies including email and social media, and an even wider range of public and private sector organizations. Royster (2013,

Sketching-based high-performance biomedical big data processing accelerator
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Abstract:Multi-Sensor health monitoring systems are used to predict near future events of our health system. Each sensor generates humongous amount of data per second and needs to be processed in real-time. At the same time health monitoring systems are

Big Data Analytics toward Intelligent Mobile Service Provisions of Customer Relationship Management in e-Commerce
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Abstract. The rapid development of wireless technology has accelerated the use of mobile devices and mobile services between customers and business. Hefty amount of data are unprecedentedly generated within a second. Under the big data era, making full use of the

Big Data using Cloud Computing-Opportunities for Small and Medium-sized Enterprises
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Abstract Big Data has been listed as one of the current and future research frontiers by Gartner. Large-sized companies are already investing on and leveraging big data. Small- sized and medium-sized enterprises (SMEs) can also leverage big data to gain a strategic

A Clustering Based Collaborative and Pattern based Filtering approach for Big DataApplication
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Abstract-Number of services is emerging on the Internet because of service and cloud computing. Result of this is, service-relevant data become too big to be effectively processed by traditional approaches. The most fundamental challenge for the Big Data application is

Big data: the coming crisis of governance and practice
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'Even if you are looking at purely anonymized data on the use of mobile phones, carriers could predict your age to within in some cases plus or minus one year with over 70 percent accuracy. They can predict your gender with between 70 and 80 percent accuracy. One

Quality, Analytics, and Big Data
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Summary The integration of quality, analytics, and big data guided by the strategic direction of the organization can potentially result in new sources of customer value and a new source of competitive advantage. This research report describes some of the advances related to

STRATEGIC ANALYSIS WITH BIG DATA
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Abstract-In this paper, We introduce a generic application, a robust analytic system that we developed for collecting and delivering high volumes of data. Our system incorporates ideas from existing centralized system and shifted to distributed system. Using hadoop

Applying Data Warehousing and Big Data Techniques to Analyze Internet Performance
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Abstract-Measuring the quality of Internet is essential to evaluate the performance of data links around the world and to keep track of how countries have improved their connections throughout the years. Moreover, Internet performance measurements provide

Can Big Data Forecast North Korean Military Aggression
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Abstract: Can textual analysis improve statistical prediction of risky geopolitical events North Korea has been the most important source of geopolitical risk for South Korea due to the former's unpredictable and secretive military actions against the latter. We find that the

Towards Conceptual Predictive Modeling for Big Data Framework
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Abstract Predictive modeling is the process of creating a statistical model from data with the purpose of predicting future behavior. In recent years, the amount of available data has increased exponentially and Big Data Analysis is expected to be at the core of most

Towards not being afraid of the big bad data set
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Page 8. BigDataBigData. . . What is it a) xxxBytes b) Storage c) Manipulation d) Interpretation e) Fit Methodological / Computational Statistics () 'Robustness' / 'Scalability' Algorithmic Design 'Sufficiency' Page 9. BigDataBigData. . . What is it

ASSET-LITE PARKING–USING BIG DATA ANALYTICS FOR DEVELOPING 1 SUSTAINABLE SMART PARKING SOLUTIONS IN WASHINGTON, DC 2
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Real-time parking occupancy detection is often the missing piece as municipalities migrate up the" smart-2 parking" spectrum. Municipalities use occupancy detection for (a) providing real-time information to 3 customers about parking availability,(b) making demand-based

Teaching Big Data Analytics Skills with Intelligent Workflow Systems
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Abstract We have designed an open and modular course for data science and big data analytics using a workflow paradigm that allows students to easily experience big data through a sophisticated yet easy to use instrument that is an intelligent workflow system. A

In-memory Distributed Processing Method for Traffic Big Data to Analyze and Share Traffic Events in Real Time among Social Groups
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Abstract In this paper, we propose an in-memory distributed processing method that can rapidly process vehicle location and traffic event data using Spark Streaming. The proposed system enables to share information about surrounding vehicles, pedestrians, and traffic

Social Network Analysis Using Big Data
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Facebook, Twitter, and Weibo, has produced and is producing huge volume of data. Business firms and other organizations are interested in discovering new business insight to increase business performance. By using advanced analytics, enterprises can analyze big

Neurodegenerative Diseases Monitoring (NDM) main Challenges, Tendencies, and EnablingBig Data Technologies: A Survey
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Abstract:Evidence-based health monitoring has been recognized in the past few years as a very prominent solution to cope with continuous monitoring of chronic diseases such as neurodegenerative diseases for example: epilepsy. This has reduced the burden and cost

Text Analytics: the convergence of Big Data and Artificial Intelligence
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Abstract:The analysis of the text content in emails, blogs, tweets, forums and other forms of textual communication constitutes what we call text analytics. Text analytics is applicable to most industries: it can help analyze millions of emails; you can analyze customers'

Big data models of bank risk contagion
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Abstract A very important area of financial risk management is systemic risk modelling, which concerns the estimation of the interrelationships between financial institutions, with the aim of establishing which of them are more central and, therefore, more contagious/

Big Data Validation and Quality Assurance–Issuses, Challenges, and Needs
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Abstract:With the fast advance of big data technology and analytics solutions, big data computing and service is becoming a very hot research and application subject in academic research, industry community, and government services. Nevertheless, there are

Making Use of Big Data to Evaluate the Effectiveness of Selective Law Enforcement in Reducing Crashes
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State Departments of Transportation (DOTs) across the nation fund selective enforcement 40 campaigns aimed at intensifying law enforcement at certain locations in order to improve traffic 41 safety. At the same time, many states passively collect large datasets such as

Big Data Compression in Mobile and Pervasive Computing
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Abstract The usability of Mobile devices and portable computers has been increased very rapidly. The main focus of modern research is to handle the big data in Mobile and pervasive computing. This paper gives an overview of Mobile Data Challenge which was

Double Privacy Layer Architecture for Big Data Framework
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Abstract Big data is an emerging and very considerable technology for gathering and analyzing a huge volume of real-time produced data efficiently and effectively, but it has also a great volume of sensitive data arising invasion of privacy. Big data analyses can give us

The Application of Big Data Analytics in Business World
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Abstract:There are huge amounts of data produced and accumulated in the business world. Current computer techniques have made it possible to store, process and analyze the big data. Business firms and other organizations are interested in discovering new

Big Data: ImplicaNons for Nursing InformaNcs
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Find new factors associated with mobility besides current ambulaon status during admission (OR= 5.96) In each subgroup of paents defined by current ambulaon status during admission (1-5) To compare the predictors across each paent subgroup to find

Big Data Analytics on Cray XC Series DataWarp using Hadoop, Spark and Flink
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zib Zuse Institute Berlin BigData Analytics on Cray XC Series DataWarp using Hadoop, Spark and Flink CUG2016 R. Schmidtke May 12, 2016 zib Zuse Institute Berlin BigData Analytics on Cray XC Series DataWarp using Hadoop, Spark and Flink CUG2016 R. Schmidtke

A Study on the Determinants of Credit Guarantee Supply: Using Big-Data Mediation Effect
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Abstract. The objective of this study is to examine the effect of guarantee accidents of the Regional Credit Guarantee Foundation that provides public finance service on guarantee supply. To this end, the mediating effect of the volume of credit guarantee searching and Abstract. A k-nearest neighbor (kNN) query determines the k nearest points, using distance metrics, from a given location. An all k-nearest neighbor (AkNN) query constitutes a variation of a kNN query and retrieves the k nearest points for each point inside a database. Their

Low energy sketching engines on many-core platform for big data acceleration
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ABSTRACT Almost 90% of the data available today was created within the last couple of years, thus Big Data set processing is of utmost importance. Many solutions have been investigated to increase processing speed and memory capacity, however I/O bottleneck

Emergence of Big Data with Hadoop: A Review
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Abstract:-We are living in an enormously developed, technical era, where internet is becoming fundamental need of all individual. Today, our social, personal as well as professional life are revolving around world wide web. Thus, giving birth to Big Data at an

SQL-SA for Big Data Discovery
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Abstract:There is increasing demand to integrate big data analytic systems using SQL. Given the vast ecosystem of SQL applications, enabling SQL capabilities allows big data platforms to expose their analytic potential to a wide variety of end users, accelerating

A Study on the Big Data Log Analysis for Security
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Abstract Recently, cyber-attack has become the serious national treat such as shut down industry control system, and an act of war. Therefore, the issue is suggested about the necessity of Enterprise Security Management (ESM) that is for integrated management of

A Survey On Big Data Indexing Strategies
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Abstract:The operations of the Internet have led to a significant growth and accumulation of data known as Big Data. Individuals and organizations that utilize this data, had no idea, nor were they prepared for this data explosion. Hence, the available solutions cannot meet the

Analytics for NetApp E-Series AutoSupport Data Using Big Data Technologies
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Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first

Patent Big Data Analysis by R Data Language for Technology Management
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Abstract Massive results from researching and developing technologies have been piling diversely such as patent, paper, or news article. To improve the technological competitiveness, most companies have tried to analyze the results efficiently. The amount

ASurvey OF BIG DATA ANALYTICS
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ABSTRACT Due to the arrival of new technologies, devices, and communication means, the amount of data produced by mankind is growing rapidly every year. This gives rise to the era of big data. The term big data comes with the new challenges to input, process and output

CHALLENGES WITH UNSTRUCTURED BIG DATA ANALYSIS USING MACHINE LEARNING APPROACH: A REVIEW
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Abstract Big Data contains large-volume, complex, growing data sets with multiple, sources. With the fast development of networking, data storage, and the data collection capacity, Big Data are now rapidly expanding in all science and engineering domains. The

The Study on the Business Development Prospects Analysis Using Big Data
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Abstract The huge amount of data are being generated by rapid development of internet and social networks with the wide spread of smart devices. Many data has started to be produced more and more and become complex as the IoT, M2M is active. A lot of research

NoSQL: A New Horizon in Big Data
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ABSTRACT This Big data is useful for data sets where their size or type is away from the capability of traditional relational databases for capturing, managing and processing the data with low-latency. Relational databases were not designed to cope with the scale and

A Survey on SLA Management for Cloud Computing and Cloud-Hosted Big Data Analytic Applications
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Abstract Cloud computing is a new generation of computing based on the layered model which provides different services to cloud customer. Conceptually, cloud computing offers a scalable platform for Big Data Analytic Applications (BDAAs) which can elastically

Database-as-a-service for big data: An overview
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Abstract:The last two decades were marked by an exponential growth in the volume of data originating from various data sources, from mobile phones to social media contents, all through the multitude devices of the Internet of Things. This flow of data can't be managed

Applications and Analysis of Client Consumer Behavior Based on Big Data
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Abstract. Consumer behavior analysis is an important part of customer relationship management, the traditional means of analysis are carried out basic theory of economics, there is no quantitative research, the results of some limitations. In today's new technology

Survey on Big Data and Mining Algorithm
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ABSTRACT An information stream is a requested arrangement of examples that can be perused just once or a little number of times utilizing constrained processing and stockpiling abilities. Numerous applications take a shot at stream information like web pursuit, system

Big Data GPU-Driven Parallel Processing Spatial and Spatio-Temporal Clustering Algorithms
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Advances in graphics processing units' technology towards encompassing parallel architectures [1], comprised of thousands of cores and multiples of parallel threads, provide the foundation in terms of hardware for the rapid processing of various parallel

IoT and Big Data towards a Smart City
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ABSTRACT The fast growth in the population density in urban areas demands more facilities and resources. To meet the needs of city development, the use of Internet of Things (IoT) devices and thesmart systems is the very quick and valuable source. However, thousands

Big Data Testbed for Network Attack Detection
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Abstract: Establishing an effective defense strategy in IT security is essential on one hand, but very challenging on the other hand. According to the 2014 Cyberthreat Defence Report [1] that involved more than 750 security decision makers and practitioners, more than 60%

A Survey on Big Data Analytics: Challenges, Open Research Issues and Tools
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Abstract:A huge repository of terabytes of data is generated each day from modern information systems and digital technologies such as Internet of Things and cloud computing. Analysis of these massive data requires a lot of efforts at multiple levels to

Big Data Analytics Driving Parking Policy: Evaluating Meter Time Limit Adherence in Washington, DC
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This paper provides a case study of how big data analytics can help evaluate the effectiveness of existing 2 policies and formulate new policies. The District Department of Transportation (DDOT) analyzed data on 3 meter time limit adherence, or overstays at on

SQL: From Traditional Databases to Big Data
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ABSTRACT The Structured Query Language (SQL) is the main programing language designed to manage data stored in database systems. While SQL was initially used only with relational database management systems (RDBMS), its use has been significantly

Big Data is Moneyball on Steroids
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ABSTRACT This paper explores how big data and data analytics potentially change how organizations behave and are designed. The paper highlights the importance of designing organizations 'to purpose'despite growing data complexity, and offers important insights

Big and Meta Data Management for U-Agriculture Mobile Services
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Abstract Big Data is a huge amount of data generated continuously and it extracts the meaning, structure, and relationships in enormously large data sets. Metadata is defined as data about data, where is comes from, and when it was taken etc. Metadata is a

Lifewatch acoustic receiver network: setup of a PostgreSQL database, web interface and collaborative environment to cope with big data
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Technology does not stand still and it helps researchers to perform high-quality scientific research. Improving technology allows us to gather continuous information on ocean processes, animal behaviour and environmental variables using automated devices. The

Big Data Optimization in Machine Learning
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Page 1. BigData Optimization in Machine Learning by Xiaocheng Tang A Dissertation ii Page 3. Approval of the Doctoral Committee BigData Optimization in Machine Learning Xiaocheng Tang Approved and recommended for acceptance as a dissertation in partial fulfillment of

Success factors for the implementation of Big Data as a tool to reduce bounded rationality in organisational decision-making
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Abstract In the information age, Big Data is on the rise for organisations of all sizes to obtain a competitive advantage over market participants. It is important to executives and decision- makers to understand the current dissemination of Big Data and what organisational The explosive growth of big data imposes a heavy burden on computation, storage, and communication resources in today's infrastructure. To efficiently exploit the bulk cloud resources for big data processing, many different parallel cloud computing programming

Comparative Study of Big Data Computing and Storage Tools: A
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Abstract As a result of tremendous rise in internet usage like social media and forums, mail systems, scholarly and research articles, daily online transactions from multiple sources like health care systems, meteorological and environmental organizations etc., the data

Big data security and privacy issues in the cloud
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ABSTRACT Many organizations demand efficient solutions to store and analyze huge amount of information. Cloud computing as an enabler provides scalable resources and significant economic benefits in the form of reduced operational costs. This paradigm

Real Option Analysis to Value Managed Lanes Using Big Data
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16. Abstract Managed lanes (MLs) provide a backup option for travelers even when they do not use MLs. For example, travelers have the option to use MLs when they encounter unexpected congestion. The option value of MLs refers to travelers' willingness to pay for

Conceptualization with Incremental Bron-Kerbosch Algorithm in Big Data Architecture
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Abstract: The paper introduces a novel conceptualization algorithm optimized for a distributed, Big Data environment. The proposed method uses a concept generation module based on clique detection in the context graph. The presented work proposes a novel

The Explosion of Big Data and Processing Based On I/O Bounded Disk-Based Systems
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Abstract: The amount of data to be stored in a system is increasing day by day. Therefore huge amount of data should be stored and processed in an efficient way. Even though the external devices can provide huge storage, they cannot process the data quickly. In order

Machine Learning for Big Data: A Study to Understand Limits of Performance at Scale
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ABSTRACT This report aims to empirically understand the limits of machine learning when applied to Big Data. We observe that recent innovations in being able to collect, access, organize, integrate, and query massive amounts of data from a wide variety of data

Big Data eLearning: A Binomial to the Future of the Knowledge Society.
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Abstract:There is no doubt that in what refers to the educational area, technology is producing a series of changes that will greatly affect our near future. The increase of students experiences in the new educational systems in distance learning makes possible

An Effective Filtering on Big Data by Finding Relevant Features to Extract Useful Information
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Abstract Big data handling is the most important challenges faced by many of the researchers in the world due to its varying structure and high volume of contents. The most useful and relevant information plays the most important role in the real world application

Research Advances in the Integration of Big Data and Smart Computing
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ABSTRACT Now-a-days main factor of any information in different fields is data. Different database like relational, object-oriented database is very different from traditional database in case of data retrieval, data management and data updation. So, Data mining is a

Big Data–a step change for SDI
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Abstract The globally hyped notion of Big Data has increasingly influenced scientific and technical debates about the handling and management of geospatial information. Accordingly, we see a need to recall what has happened over the past years, to present

Data Security Based On Big Data Storage
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Abstract Security is a prime concern for any service that provides big data storage. The data of an individual should remain confidential and should be accessed only by any authenticated person. One of the aspects of security that is considered prior storing data is

Prediction of Rapid Floods from Big Data using Map Reduce Technique
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Abstract Rapid floods is one of the irremediable calamities. They are always dangerous causing heavy damage at the surroundings due to heavy rainfall which cannot be figured out. In some cases the behaviour of the streams and their link with other strems are

Supportive Role of Big Data Technologies in Enterprise Architecture Management
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ABSTRACT By the advent of more complex enterprise systems consisting of different types of processes, applications and information which are linked to each other, the growth of scalable supportive technologies becomes an inevitable necessity. Additionally,

Data Visualization: Enhancing Big Data More Adaptable and Valuable
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Abstract The main focus of this paper is on Big Data and Data Visualization techniques which together make the usage of data analytics more efficient and valuable. The term 'Big Data', is a phenomenon that is characterized by the rapid expansion of raw data. Big Data

HadoopViz: A MapReduce framework for extensible visualization of big spatial data
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Abstract:This paper introduces HadoopViz; a MapReducebased framework for visualizing big spatial data. HadoopViz has three unique features that distinguish it from other techniques.(1) It exposes an extensible interface which allows users to define a new

Parallelizing K-Anonymity Algorithm for Privacy Preserving Knowledge Discovery from Big Data
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Abstract Disclosure control has become inevitable as privacy is given paramount importance while publishing data for mining. The data mining community enjoyed revival after Samarti and Sweeney proposed k-anonymization for privacy preserving data mining. The k-

Survey of Big data Analytics in Medical Imaging
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Abstract: Big Data is promising for business application and is rapidly increasing as a segment of the IT industry. It has generated significant interest in various fields, including the manufacture of healthcare machines, banking transactions, social media, and satellite

Disease Surveillance Big Data Platform for Large Scale Event Processing
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ABSTRACT In a globalized world, disease outbreaks are likely to spread rapidly across the countries and territories. Therefore, early reports are extremely important in order to predict, identify, confirm, and respond to these occurrences, reducing the risks and consequences

Big Data and Risk Management in Financial Markets: A Survey
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Abstract Big data is a buzzword that indicates data that do not fit traditional database structure. Their potential is enormous for many fields, and risk management is within the ones that could benefit the most from new sources of unstructured data. This paper

Data Visualization and Communication by Big Data
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Abstract-Data visualization is viewed by many disciplines as a modern equivalent of visual communication. It is not owned by any one field, but rather finds interpretation across many (eg it is viewed as a modern branch of descriptive statistics by some, but also as a

A Knowledge Discovery Based Big Data for Context aware Monitoring Model for Assisted Healthcare
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Abstract Cloud computing is a fast growing technology that eliminates the need to maintain expensive hardware, software and dedicated storage space. It is an on-demand computing that stores data in remote locations rather than storing in local storage attached to the

A Novel Lexicon Based Approach to Enhance the Accuracy of Sentiment Analysis on Big Data
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Abstract:he widespread and best use of World Wide Web generate an enormous amount of unstructured data called,'Big Data'. Such knowledge-rich data plays a vital role in the decision-making process. In day-today life, social media websites are serving as a

Big Data Security Issues in Networking
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ABSTRACT As of now with the advantages of big data in many fields like Business, E- Commerce, Social Media, Networking and so on, approach in this paper concentrates on security issues which our future is going to face if they are not encountered today,

Istat International And National Initiatives On Big Data
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The National Statistical Institutes (NSIs) have recently started investigating Big Data (BD) as potential data sources for generating official statistics. Especially beginning in 2013, numerous international projects and initiatives have been undertaken with the main

Extracting Value from Grey Literature: processes and technologies for aggregating and analyzing the hidden big data treasure of organizations
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Abstract Grey literature can be a valuable source of information about organizations' activities and, to a certain extent, about their identity. Some of the major problems that hinder their full exploitation are the heterogeneity of formats, the lack of structure, the

Adaptive Tools And Technology In Big Data Analytics
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Internet rise to 3 billion. Beside human activity in social networks, billions of connected devices, sensor and instrument uninterrupted make amount of data. Irrespective of how data created, a natural question comes to mind is: How we could manage data analytics and

Big Data Framework for Healthcare using Hadoop
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Abstract The technological advancements prevailing today make it possible to sense, collect, transmit, store and analyze the voluminous, heterogeneous medical data. This data could be mined to provide valuable and interesting patterns. However, extracting

Statistical Analytic Tool for Dimensionalities in Big Data: The role of Hierarchical Cluster Analysis
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Abstract An interest for presenting this paper rose because of massive increase information with a very high dimensional from different sources in this era of globalization. Data are produced continuously and are unstructured (1). This paper is confined to literature review Scene understanding is a key issue in computer vision, which recognizes scene image semantic contents and their corresponding contexts. As one of the most challenging scene understanding problems, scene classification considers the semantic concepts in a scene

A Research Framework on Big Data awareness and Success Factors toward the Implication of Knowledge Management: Critical Review and Theoretical
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Abstract People have access to more data in single day than most people that have access to data in the previous decade. This data is created in many forms and it highlights the development of big data. Big data have transformed the way organizations across

Multi-Modal Data Fusion for Big Events
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Amsterdam, like many other metropolitan areas, faces a number of serious transportation related challenges. These range from severe congestion problems on the freeway and city road network, overloading of the train stations during peak hours, limited accessibility for

EFFICIENT ALGORITHM FOR DETECTING AND CORRECTING ERRORS IN BIG SENSOR DATA
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Abstract:-Detecting error in the large volume of data is the most complex process where the number of data's are grows in size. In the existing work, time efficient approach is proposed to detect the errors resides in the big sensor data where the collected data would be

Road to Freedom in Big Data Analytics
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ABSTRACT The world is fast moving towards a data-driven society where data is the most valuable asset. Organizations need to perform very diverse analytic tasks using various data processing platforms. In doing so, they face many challenges; chiefly, platform

DISTRIBUTED ANALYSIS OF BIG PERSONAL DATA SETS WITH RESPECT TO PRIVACY.
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ABSTRACT Monitoring of cross-boundary financial operations routinely affects the interests of governmental and credit organizations of foreign countries which may not match the objectives of financial monitoring of investigation initiating country. Therefore, cross-

An Outlook on India's Healthcare System with a Medical Case Study and Review on Big Dataand its Importance in Healthcare
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Abstract: In the present day world, data management has become an essential and integral part of every organization and the volume of data is getting multiplied day by day at an alarming rate. Likewise, the growth of Indian healthcare industry is at an enormous pace

Secure Big Data Storage To Guarantee Confidentiality In Cipher Text Multi sharing Control
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Abstract: The secure big data storage services are basic requirement of the service is to guarantee the confidentiality of the data. However, the anonymity of the service clients, one of the most essential aspects of privacy should be considered simultaneously. Moreover

Big Data Analysis Using Hadoop Framework
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Foundation. Earlier yahoo, google developed their file system (GFS) Google File System. Before 5-7 years data generated in a year is generating in a day. Traditional analysis system can't solve the timing issue and storage capacity of large data set which is in Gigabytes,

EXTENDED REAL TIME SERVICE ORIENTED SENSOR ARCHITECTURE FOR BIG DATAANALYTICS OF SENSOR SYSTEM
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Abstract: This paper is an attempt to enhance the existing real-time Big Data analytical architecture for remote sensing satellite application with enhancement using Social Network Data. For future work, we are planning to extend the proposed architecture to make it

Big Data and Learning Analytics-Promises and Challenges: Being 'measured'and Being 'careful'
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What happens to a university when it embraces Big Data and Learning Analytics (LA) What happens to its being and becoming What are the consequences of being 'measured'using Big Data The forecast promises and challenges in the powerfulness and politics belie

Big Data for Reliability Engineering: Threat and Opportunity
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Abstract-The confluence of several technologies promises stormy waters ahead for reliability engineering. News reports are full of buzzwords relevant to the future of the field Big Data, the Internet of Things, predictive and prescriptive analytics the sexier sisters of reliability

Big Data Provenance: State-Of-The-Art Analysis and Emerging Research Challenges
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ABSTRACT This paper focuses the attention on big data provenance issues, and provides a comprehensive survey on state-of-theart analysis and emerging research challenges in this scientific field. Big data provenance is actually one of the most relevant problem in big

ENHANCING THE PERFORMANCE OF FILTERING USING CANNY EDGE DETECTION ALGORITHM FOR REAL TIME BIG DATA WITH HADOOP
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Abstract: TheProposed architectonics comprises threemain units, such as Remote Sensing Big Data Acquisition Unit (RSDU), Data Processing Unit (DPU) and Data Analysis Decision Unit (DADU). First, RSDU acquires datafrom the satellite and dispatchesacquired data to

IMPLICATION OF SECURITY ISSUES ASSOCIATED WITH BIG DATA IN CLOUD COMPUTING
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Abstract:In this paper, we discuss security issues for cloud computing, Big data, Map Reduce and Hadoop environment. The main focus is on security issues in cloud computing that are associated with big data. Big data applications are a great benefit to organizations

Decent Work for All: Leveraging Big Data for a Human-Centered Approach to Sustainable Development
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1. Background The world has resolved to ensure that all individuals can fulfill their human potential with dignity and equality–including by ensuring access to decent work (United Nations, 2015). People in emerging economies and from lowerincome countries (LICs)

Fine-Grain Incremental Processing In Big Data Mining
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Abstract: I 2 MAPREDUCE: Fine-Grain Incremental Processing in big data mining a novel incremental processing extension to Map Reduce, the most widely used framework for mining big data. As compare with the high-tech work on In coop, I 2 MapReduce has its

A REVIEW ON WHAT IS BIG DATA AND HOW TO HANDLE THE ENORMOUS DATA THROUGHBIG DATA
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ABSTRACT Big Data is used to handle large and complex type of data. There is an immense requirement of handling this complex type of data, because today all the internet data and other thing's data are connected to each other in big manner. Big data is a term that

NEED OF ERA THE GROWING AVALANCHE AND BOON TO HEALTHCARE: BIG DATA
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ABSTRACT Earlier as the studies shows the death rate of patients were high due to lack of proper diagnosis, due to lack of resources and medicine on time. It was really impossible for doctors to get the information of patient within time using traditional means and analyzing

BIG DATA PRIVACY CONCERNS IN THE LIGHT OF SURVEY RESULTS
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ABSTRACT Big Data may be understood as data sets whose sizes exceed the capacity of conventional database tools. The Big Data resources may include business transactions, e- mail messages, photos, surveillance videos and activity logs. Big data can be analyzed

Collaborative Mining Method for Location Big Data of Outdoor Activities
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Abstract With the continued popularity of location services and the application of Internet of Vehicles, the location big data of outdoor activities which is composed of geographical data, vehicle track and application record and so on has used to obtain the perception of the Data is being created around us at an increased rate, in a multitude of forms and types. Most of the advances in all the scientific disciplines that have occurred over the last decade have been based on the extraction, management and assessment of information to provide

Design of Customized Local Information System Based on Big Data Analysis
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Abstract With the development of information technology, there is more active communication and sharing of information through SNS, which is increasing unstructured data. The increase in unstructured data is occurring in text mining, based on natural

CRS Model Design for Personal Health Records Protection with BIG DATA Analysis
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Abstract: Big Data is the hottest trend in the IT technology, the capacity of the data has increased the terabytes to Zeta-byte, In healthcare field huge amount of data are produced in every days. This data is maintaining and protecting are complex problems. Even each

On the relation between Big Data and Machine Learning
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Leandro Ariza-Jimenez, MSc. Advisors: Olga Lucía Quintero, Ph.D. Javier Correa Álvarez, Ph.D Nicolas Pinel Peláez, Ph.D. Mathematical Modeling Research Group School of Mathematical Sciences Universidad EAFIT Machine Learning (ML) refers to a branch of the Artificial

Ethical Reasoning in Big Data
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The advent of the Internet and of mass digitization of research information processes brought about among many other things the ability to harvest, sometimes implicitly, a wealth of human behavioral, biological, economic, political, or social data. The emergence of

INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES RESEARCH TECHNOLOGY CLOUD COMPUTING WITH BIG DATA: A REVIEW
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ABSTRACT Big data is a collection of huge quantities of data. Big data is the process of examining large amounts of data. Big data and Cloud computing are the hot issues in Information Technology. Big data is the one of the main problem now a day's.

Big Data Application: Study and Archival of Mental Health Data, using MongoDB
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Abstract:In recent years, due to huge growth in mental disorder and its serious impact throughout the world it has becoming a necessity to better understand the dissatisfactory outcomes from metal health problem. Since there is an extreme large dataset which was

Big Data Categorization for Arabic Text Using Latent Semantic Indexing and Clustering
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Abstract:Documents categorization is an important field in the area of natural language processing. In this paper, we propose using Latent Semantic Indexing (LSI), singular value decomposing (SVD) method, and clustering techniques to group similar unlabeled

Scalable and Flexible Big Data Analytic Framework (SFBAF) For Big Data Processing and Knowledge Extraction
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Abstract----World Digitalization floods massive amounts of structured and unstructured data through different systems and applications known as Big Data today. Social networks, server logs, transactions, search engines, ERP applications, PDAs, sensors and other

Forward Direction to Future Research for Big Data
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Abstract-In this paper, we review current research issues and challenges and state-of-the-art of big data. Big data refers to data volumes in the range of exabytes (1018) and beyond. Such volumes exceed the capacity of current on-line storage systems and processing

M2 Internship: Developing a Big Data Model
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Background: Big Data Analytics Today data is being generated at an unprecedented rate, so much that 90% of the data in the world has been created in the past two years. Such significant increase of data volume is due to the new ways that we gather data: for

BIG DATA AND CARDIOLOGY: TIME FOR MASS ANALYTICS
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Disclosure: Dr Rahul Potluri is the Founder of the ACALM Study Unit which undertakes clinical epidemiology research utilising anonymous routinely available data. Dr Ignat Drozdov is an employee of Bering Limited. The views expressed in the publication are his

Big Data Health Care Monitoring
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Abstract–Context aware monitoring is a technology which providers personalized health care services. The large amount of data generated is stored in cloud repositories. Cloud means accessing data from a remote machine. We can access the data anywhere form

A PILOT FOR BIG DATA EXPLOITATION IN THE SPACE AND SECURITY DOMAIN
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ABSTRACT In the framework of the Horizon 2020 project BigDataEurope (Integrating Big Data, Software Communities for Addressing Europe's Societal Challenges), a platform comprising key open-source technologies has been set up in order to meet the Big Data

Improving Network Traffic in MapReduce for Big Data Applications
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Abstract:Improving the performance of network traffic in shuffle phase is important to improve the performance of MapReduce. The goal of enhancement of network traffic is achieved by using partition and aggregation. According to traditional method a hash

BIG DATA ANALYTICS: CHALLENGES AND APPLICATIONS FOR TEXT, AUDIO, VIDEO, AND SOCIAL MEDIA DATA
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ABSTRACT All types of machine automated systems are generating large amount of data in different forms like statistical, text, audio, video, sensor, and bio-metric data that emerges the term Big Data. In this paper we are discussing issues, challenges, and application of these

Application of Big Data in Petroleum Industry
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Abstract Oil and Gas industry is a scope that is full of dangers. Most of the companies in this area deal with huge amount of data from different phases such as exploration, drilling production that are increasing dramatically over the time. Hence, by increasing the data

Possibility of Preventing Cancer using Big Data Analytics and Data Mining Technology
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Abstract: This paper presents a case study of how Big Data analysis Data Mining technology can provide an indicative solution to humanity for early detection and prevention

Big Data, Business Intelligence and Tourism: a brief analysis of the literature
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2 Materials and Methods The source for this work is the Scopus database. Although, obviously, not a complete source of academic works, with its more than 20,000 titles from about 5,000 international publishers, it can be well considered one of the most Ubiquitous and social computing are creating new environments that foster the social interaction of users in several contexts. Concerning social environments, eg, social media and the social web, there are a variety of social networking environments being

Emerging Technologies For Big Data Processing: NOSQL And NEWSQL Data Stores
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Abstract: In this incessant science and technological era, where advances in web technology and the production of mobile devices and sensors connected to the Internet are resulting to voluminous amount of structured, semi-structured and unstructured data,

JOURNAL OF ENGINEERING SCIENCES RESEARCH TECHNOLOGY EFFICIENT MAP STORING AND REDUCE READING FOR RELATED BIG DATA
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ABSTRACT Big Data has come up with aureate haste and a clef enabler for the social business. Big Data is bringing a positive change in the decision making process of various business organizations. With the several offerings Big Data has come up with several

Research Hotspots in Big Data Technology
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Abstract: Throughout the history of human society, the demands and willingness of human beings are always the source powers to promote scientific and technological progress. In this paper, we present the research hot spots and indicate possible research directions of

Quality Assurance for Big Data Application–Issues, Challenges, and Needs
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Abstract:With the fast advance of big data technology and analytics solutions, building high- quality big data computing services in different application domains is becoming a very hot research and application topic among academic and industry communities, and

Analysis of Various Tools in Big Data Scenario
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Abstract: Big data is a term which refers to those data sets or combinations of data sets whose volume, complexity, and rate of growth make them difficult to be captured, managed, processed or analysed by traditional tools and technologies. Big data is relatively a new

JOURNAL OF ENGINEERING SCIENCES RESEARCH TECHNOLOGY STUDY OF PROS AND CONS IN THE EDUCATION SYSTEM USING BIG DATA
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ABSTRACT Data is a precious thing and will last longer than the systems themselves.–Tim Berners Lee, inventor of the World Wide Web. When Berners-Lee talked about data, he wouldn't have imagined it growing to a gigantic size encompassing all spheres of life.

3 cryptology and privacy in the context of big data
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Executive Summary 'Big Data'has become the term of art to refer to a number of distinct sociotechnical phenomena in present-day infrastructures. The objective of this paper is to discuss the potentials and limitations of using technical means to address privacy

A Survey on Data Mining in Big Data
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Abstract:Collection of large and complex data is termed as big data. Tons of data are collected in applications such as medical processing, whether reporting, digital libraries, etc. and these data should be managed. Also they contain large amount of varying data such

TO IMPLEMENT LEAST MEAN SQUARES USING INCREASING THE SECURITY OF BIG DATA
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ABSTRACT Data mining is the analysis step of the Knowledge discovery in databases (KDD) and relatively new term, because the goal is the extraction of patterns knowledge from large amount of data. In existing system, there are used multitier ensemble classifiers

Evaluation of SMP Shared Memory Machines for Use With In-Memory and OpenMP Big DataApplications
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ABSTRACT While distributed memory systems have shaped the field of distributed systems for decades, the demand for many-core shared memory resources is increasing. Symmetric Multiprocessor Systems (SMPs) have become increasingly important recently among a

The market for creampuffs: Big Data and the transformation of the welfare state
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Abstract: The literature on the welfare state assumes, often implicitly but almost universally, that social insurance can or will be provided through the state. This assumption is based on economic models of insurance that show the propensity for market failure when

Chicago's Shared Bikes: How Big Data Technology Can Assess Ridership
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Abstract:Big Data analytics is a growing field. Not only because there are more actual users utilizing Big Data and Big Data Ecosystems, but because the amount of data, the types of data, and speed at which these data are changing is also growing. This project utilizes

Heterogeneous Learning on Big Multimodal Data
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Abstract The Big Data era brought up many new possibilities and challenges to developers and researchers. With today's mobile platforms, which are equipped with a multitude of sensors, data have become abundant. However, algorithms and processes have yet to be

AUDIO COMPUTING IN THE WILD: FRAMEWORKS FOR BIG DATA AND SMALL COMPUTERS
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Abstract This dissertation presents some machine learning algorithms that are designed to process as much data as needed while spending the least possible amount of resources, such as time, energy, and memory. Examples of those applications, but not limited to, can

Chapter: Distributed Platforms and Cloud Services Enabling Machine Learning for Big Data. An Overview1
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Abstract: Applying popular machine learning algorithms to large amounts of data raised new challenges for machine learning practitioners. Traditional libraries does not support properly the processing of huge data sets, so that new approaches are needed. Using modern

A Unified Framework of Multiple Kernels Learning for Hyperspectral Remote Sensing Big Data
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Abstract. Analysis on hyperspectral remote sensing big data is widely in remotely sensed satellite imaging and aerial reconnaissance, the development of sensor technology brought the developing of collecting image data using hyperspectral instruments with hundreds of

Survey Paper on Challenges of Big Data and Cloud Computing
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Abstract Big data is more important in providing more accurate analysis, which may lead to better decision making resulting in greater efficiencies, cost reductions, and reduced risks for the business. To harness the power of big data, you would require an infrastructure that

PROTECTING UNAUTHORIZED BIG DATA ANALYSIS USING ATTRIBUTE (DATA) RELATIONSHIP
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ABSTRACT: The term big data is a buzz word and hot area of research in the research community and industry. The term big data is not a new term, it the extension or new version of old terms, for example, the Information Explosion. Security of big data is a challenge

Doing Visual Big Data–Creating the KBK-1M Dataset Containing 1, 6 Million Newspaper Images Available for Researchers
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The visualisation of news through photographs has exploded since the second half of the 20th century (Kester Kleppe 2015). However, methods that are employed to analyse the (re) use of visual materials are labour-intensive because Humanities researchers tend to The Transaction Processing Performance Council (TPC) is a non-profit organization established in August 1988. Over the years, the TPC has had a significant impact on the computing industry's use of industry-standard benchmarks. Vendors use TPC benchmarks

INCREMENTAL MAPREDUCE FOR BIG DATA PROCESSING
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ABSTRACT: Big Data is a collection of a huge and complex data that it becomes extremely dreary to capture, store, process, retrieve and analyze it with the help of on hand database management tools or traditional data processing techniques. To store and process such a

A Modified K-Means Algorithm for Big Data Clustering
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Abstract:Amount of data is getting bigger in every moment and this data comes from everywhere; social media, sensors, search engines, GPS signals, transaction records, satellites, financial markets, ecommerce sites etc. This large volume of data may be semi-

Computation of Big Data in Hadoop and Cloud Environment
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Abstract:-Big Data is a new phenomenon that needs high attention due to the wealth it possesses only if it is addressed and if it is not addressed it will lead to a situation of Data Explosion and a huge amount of garbage will be formed. Various technologies like

Big data approach for correlating gut microbiota with epithelial methylation pattern Goals: Investigate multi-domain large scale modelling to associate
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Role: PI (contract) $24,354 Title: Management of standardized evaluation of retroviral HIV Infection (MASTER). Goals: To integrate data from established HIV cohorts in Italy that have been collecting data on participants for up to 15 years and address research questions

Predictive analysis using Big data Analytics for Sensors used in Fleet Truck Monitoring System
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Abstract:The production of large amounts of data has not only been observed in web based companies but has seen entering other domains such as automation and automobile. Smart sensors and smart devices contribute to growing amounts of data that need to be

Private Cloud Storage in Big Data
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ABSTRACT Current and upcoming era is the era of Big Data, where it comes along with challenges between Big Data processing and security that raises problems. On one side, the large amount of trust related data have to be highly available, flexible and fast processing

BIG DATA AND ANTHROPOLOGY: CONCERNS FOR DATA COLLECTION IN A NEW RESEARCH CONTEXT
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Traditionally, anthropologists have worked within relatively small groups of individuals (at least relative to the scope of modern big-data analytics). Traditionally, we have known our informants and participants and likely have had some personal relationship or connection

THE VALIDITY AND RELIANCE OF BIG DATA PROJECTS
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Abstract. We put forth questions as to the potential problems with big data, their applications, and their implications in our world. Our particular interest is with distributed big data projects. The increase in available data has been occurring for centuries. One of the earliest big

On Traffic-Aware Partition and Aggregation in MapReduce for Big Data Applications
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Abstract:The MapReduce encoding models simplifies large-scale data processing on commodity cluster by exploiting parallel map tasks and reduce tasks. Although many hard work have been made to improve the recital of MapReduce jobs, they ignore the network

Authorized Auditing Of Dynamic Big-data On cloud
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Abstract: Cloud computing is widely spreading era. It includes it companies, business line, all online shopping sites including cell phone service providers etc but in other hand storage capacity and security are increasing issues. Cloud user have no more longer

4 policing, big data and the commodification of security
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Security (social, legal and otherwise) has been one of the great achievements of the modern era. However, the challenges of providing security services and of making people feel safe change across times and cultures. Recently, the proliferation of technological solutions

Automagic Configuration Optimization for Big Data Processing Systems
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Big data processing systems have dozens of available configuration parameters and system performance crucially depends on their tuning. For example, Apache Storm has about 201 parameters that can be set by the user. Amongst these, there are 49 parameters that can

BIG DATA ANALYTICS USING AGILE MODEL
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Abstract:This journal introduces the reader the background of Big Data Analytics and how efficiently Agile methodology can be applied to achieve the business goal. The journal focus on giving background of Big Data and how using Agile practices such as iterative,

Learning Big Data Analytics with Digital Storytelling
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Jungwoo Ryoo1, Soo-yong Byun2, Dongwon Lee3, Eun-Kyeong Kim4 1 College of Information Sciences and Technology, The Pennsylvania State University, Altoona, PA 16601, USA, 2 Department of Education Policy Studies, The Pennsylvania State

DIRECTIONS FOR BIG DATA GRAPH ANALYTICS RESEARCH
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Abstract In the era of big data, interest in analysis and extraction of information from massive data graphs is increasing rapidly. This paper examines the field of graph analytics from a query processing point of view. Whether it be determination of shortest paths or finding

Big-Data: ACID versus BASE for Database Transactions
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It says that database transactions should be: Atomic, Consistent, Isolated, and Durable. These qualities seem indispensable, and yet they are incompatible with availability and performance in very large systems. For example, suppose you run an online book store

Efficient Algorithm for Frequent Itemset Generation in Big Data
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ABSTRACT: Data mining faces a lot of challenges in the big data era. Association rule mining is an important area of research in the field of data mining. Association rule mining algorithm is not sufficient to process large data sets. Apriori algorithm has limitations like

Big Data–A Pool of Opportunities and Negotiations: Forseen and Unforseen
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Abstract: Big data is the term for any collection of large and complex data which becomes difficult to process using traditional data processing applications. The challenges include analysis, capture, curation, search, sharing, storage, transfer, visualization, and privacy

PRIVACY-PROTECTING ANALYSIS OF DISTRIBUTED BIG DATA
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ESPnet) have been established to accelerate scientific discovery and improve health. However, a big barrier to making full use of clinical data is the public's concern that researchers' access to demographics, diagnostic codes, genome sequences, etc., can

A Model for Detecting and Managing Unrecognized Data in a Big Data framework
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Abstract:Data is a part of information that is formatted in some special approach. In general way data can be exist in various forms like numbers or text on a paper, as bits or bytes in computer memory, or as facts in the brain of human beings. Moreover, data is present

Applications of big data to healthcare: opportunities and challenges
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Abstract:Recently, big data has become a buzzword, and considered as one of the hottest topics in information technology. Healthcare sector started to think about embracing new technologies to solve the problem of large quantities of data. This paper analyzes the

SURVEY ON SECURITY OF BIG DATA OUTSOURCING IN CLOUD
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Abstract: Now a days the number of users in cloud computing are increasing enormously due to its advantage of providing flexible storage requirement. Due to the high volume and velocity of big data, it is an effective option to store big data in the cloud Attribute-Based



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