ENGINEERING RESEARCH PAPERS

big data 2017 IEEE PAPER




A Mathematical Solution to String Matching for Big Data Linking
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This paper describes how data records can be matched across large datasets using a technique called the Identity Correlation Approach (ICA). The ICA technique is then compared with a string matching exercise. Both the string matching exercise and the ICA We live in the era of Big Data. We are witnessing radical expansion and integration of digital devices, networking, data storage, and computation systems. Data generation and consumption is becoming a main part of people's daily life especially with the pervasive

Term Structure Analysis with Big Data
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The views expressed here are solely the responsibility of the authors and should not be interpreted as reflecting the views of the Federal Reserve Bank of San Francisco or the Board of Governors of the Federal Reserve System. Analysis of the term structure of interest rates almost always

Neuroscience: big brain, big data
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BY ESTHER LANDHUIS As big brain-mapping initiatives go, Taiwan's might seem small. Scientists there are studying the humble fruit fly, reverse-engineering its brain from images of single neurons. Their efforts have produced 3D maps of brain circuitry in stunning detail.

Monitoring Big Data Transfers Over International Research Network Connections
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Abstract: Modern science is increasingly data-driven and collaborative in nature. Many scientific disciplines, including genomics, high-energy physics, astronomy, and atmospheric science, produce petabytes of data that must be shared with collaborators all over the world.

Will Democracy Survive Big Data and Artificial Intelligence
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The digital revolution is in full swing. How will it change our world The amount of data we produce doubles every year. In other words: in 2016 we produced as much data as in the entire history of humankind through 2015. Every minute we produce hundreds of thousands

Big Data Concern with Web Applications: The Growth Enhancement for Free Venture Proposal
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Abstract:Big data is more than just some trending business phrase that's big on style and low on substance; it brings with it tangible benefits for any company willing to use it so Here this document is made for all Security issue with big data for the application The Growth

CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics.
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Abstract Picking the right cloud configuration for recurring big data analytics jobs running in clouds is hard, because there can be tens of possible VM instance types and even more cluster sizes to pick from. Choosing poorly can significantly degrade performance and

Evolving Databases for New-Gen Big Data Applications.
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ABSTRACT The rising popularity of large-scale real-time analytics applications (real-time inventory/pricing, mobile apps that give you suggestions, fraud detection, risk analysis, etc.) emphasize the need for distributed data management systems that can handle fast

On Enthusing Students about Big Data and Social Media Visualization and Analysis using R, RStudio and RMarkdown
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Summary We discuss the learning goals, content and delivery of a University of Plymouth intensive module delivered over four weeks entitled MATH1608PP Understanding Big Data from Social Networks, aimed at introducing students to a broad range of techniques used in

Introduction to Organizational Issues of Business Intelligence, Business Analytics and Big Data Minitrack
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Recent developments and the evolution of data and technologies in the business intelligence (BI) and business analytics (BA) space have given rise to new opportunities, innovation and challenges for individuals, organizations and society. The Internet of things

Extending the Reach of Big Data Optimization: Randomized Algorithms for Minimizing Relatively Smooth Functions
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Page 1.relative strong convexity (extension for separable ): of Edinburgh and KAUST Extending the Reach of Big Data Optimization: Randomized Algorithms for Minimizing Relatively Smooth Functions Optimization Problem Main Assumptions relative

Agent-based Modelling of Systemic Risk: A Big-data Approach
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Page 1. Agent-based Modelling of Systemic Risk: A Big-data Approach Model individual agents and their individual decisions decentralized decision making Emergent patterns from micro-processes to macro level population coverage Enables empirical calibration of

Improving destination choice modeling using location-based big data
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Abstract Citizens are increasingly sharing their location and movements through 'check-ins' on location based social networks (LBSNs). These services are collecting unprecedented amounts of big data that can be used to study how we travel and interact with our

The Myria Big Data Management and Analytics System and Cloud Services.
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ABSTRACT In this paper, we present an overview of the Myria stack for big data management and analytics that we developed in the database group at the University of Washington and that we have been operating as a cloud service aimed at domain scientists Big Data and Management Science has been designed to synthesize the analytic principles with business practice and Big Data. Specifically, the book provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and

Economic predictions with big data: The illusion of sparsity
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Abstract. We compare sparse and dense representations of predictive models in macroeconomics, microeconomics and finance. To deal with a large number of possible predictors, we specify a spike-and-slab prior that allows for both variable selection and

Analysis and Modeling for Big Data in Cancer Research
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Cancer is a major disease which has become the biggest threat to human health due to its difficult early detection, diagnosis, and treatment. According to the survey of the World Health Organization in 2012, there were four million new cancer cases and 8.2 million

Big Data and Social Science A Practical Guide to Methods and Tools
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Social science practitioners and researchers face more and more large and complex datasets. There is no way to turn around the big data issue, big data are now a commodity in the social sciences. Still, the social data scientist is not yet a common profile in academia

AccountTrade: Accountable Protocols for Big Data Trading Against Dishonest Consumers
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Abstract:We propose AccountTrade, a set of accountable protocols, for big data trading among dishonest consumers. To secure the big data trading environment, our protocols achieve book-keeping ability and accountability against dishonest consumers who may

BIG DATA FOR BETTER OUTCOMES: SUPPORTING HEALTH CARE S@ STEM TRANSFORMATION IN EUROPE
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Summary: Large amounts of data from multiple sources have led to the opportunity of deriving health benefits through using sophisticated technologies. Regardless of the frequently cited revolution of datadriven health care, promises remain to be fulfilled. The IMI2

Big Data Europe.
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ABSTRACT e BigDataEurope (BDE) project is developing exactly the kind of computing infrastructure that European stakeholders need when handling large volumes of data in a variety of formats; the results are open-source and their use is completely free. Coordinated

A Systematic Literature Review on Features of Deep Learning in Big Data Analytics.
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Abstract Context: Deep Learning (DL) is a division of machine learning techniques that based on algorithms for learning multiples level of representations. Big Data Analytics (BDA) is the process of examining large scale of data and variety of data types. Objectives: The ''Big data''and its applications across different disciplines have attracted attention from academic researchers. Although reports about this trend are readily available, understanding of the composition of big data value chain has not been comprehensively Natural language processing is another area of big data inquiry in the field of Communications. In this vein of research, scholars explore the way that computers can develop an understanding of language and generate responses. Often studied along with Algorithms are increasingly impacting our lives. They promote healthy habits by recommending activities that minimize risks, facilitate financial transactions by estimating credit scores from multiple sources, and recommend what to buy by profiling purchasing

CarStream: An Industrial System of Big Data Processing for Internet-of-Vehicles
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ABSTRACT As the Internet-of-Vehicles (IoV) technology becomes an increasingly important trend for future transportation, designing large-scale IoV systems has become a critical task that aims to process big data uploaded by fleet vehicles and to provide data-driven services.

Big Data and Network Biology 2016
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Big data science towards biology has emerged as an important research and application field. The scope of big data bioinformatics and the need for integrated systems biology applications have posed significant challenges to computing systems. With the growing

Research on Governance Structure of Big Data of Civil Aviation
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Abstract Facing with the enormous data scale of the civil aviation industry, the vital issue that enterprises must consider is how to manage and make use of data to play its value. In this study, the content of the governance of big data of civil aviation is analyzed and this paper

Big Data Management and Analytics for Mobility Forecasting in datAcron.
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ABSTRACT The exploitation of heterogeneous data sources offering very large historical and streaming data is important to increasing the accuracy of operations when analysing and predicting future states of moving entities (planes, vessels, etc.). This article presents the

Smart Data: Where the Big Data Meets the Semantics
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Big data technology is designed to address the challenges of the three Vs of big data, including volume (massive amount of data), variety (a range of data types and sources), and velocity (speed of data in and out). Big data is often captured without a specific purpose,

EMERGING TECHNOLOGIES SCALING UP AND ZOOMING IN: BIG DATA AND PERSONALIZATION IN LANGUAGE LEARNING
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From its earliest days, practitioners of computer-assisted language learning (CALL) have collected data from computer-mediated learning environments. Indeed, that has been a central aspect of the field from the beginning. Usage logs provided valuable insights into

targeting High Value Customers and Potential Churn Customers in Telecom using Big Data Analytics
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Abstract Since the more importance is played on customer's behavior in today's business market, telecom companies are not only focusing on customer's profitability to increase their market share but also on their potential churn customers who could terminate the relation

Enabling big data to increase output at NXP semiconductor operations
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A submitted manuscript is the author's version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact

Policy and population behavior in the age of Big Data
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Introduction Policies are interventions aimed at influencing the choices and behaviors of specific populations [1]. For a policy to be effective, it must first explicitly define the population relative to the intervention [2, 3]. For example, a policy to put warning labels on Abstract Data mining has become indispensable in the wake of ever-growing data in enterprises. The IT departments of organizations have their data mining services. However, the size of data is increased exponentially in such a way that the existing mining algorithms

Providing highly accurate service recommendation for semantic clustering over big data
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Abstract-Numerous approaches have been proposed to provide recommendations. Manifestly, recommendation system has a variety of properties that may need experiences of a user, such as user prediction, rating, trust, etc. On the internet, where the number of Nowadays, for both business operations and engineering applications, there are huge amounts of data that can overwhelm computing resources of large-scale systems. These big data provide new opportunities to improve decision making and address risk for

Communication Mediated through Natural Language Generation in Big Data Environments: The Case of Nomao
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Abstract Along with the development of big data, various Natural Language Generation systems (NLGs) have recently been developed by different companies. The aim of this paper is to propose a better understanding of how these systems are designed and used. We

Security and Privacy A Big Concern in Big Data A Case Study on Tracking and Monitoring System
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Abstract:With the ever-increasing usage of Employee Tracking and Monitoring System data for fleet management is increasing enormously there is a need for proactive Tracking and Monitoring. In addition, the new wave of digitizing Fleet records has seen a paradigm Everyone loves to talk about big data, of course for various reasons. We got into that discussion when it seemed that there is a serious problem that big data is throwing down to the system, architecture, circuit and even device specialists. The problem is of scale, of

A Study on Use of Big Data in Cloud Computing Environment
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Abstract: This paper aims to provide definition, characteristics, and classification of big data along with environment for carrying net analytics in clouds for Big Data application. The relationship between the big data, cloud computing, big data storage systems, and Hadoop

Research on the Influencing Factors of Personal Credit Based on a Risk Management Model in the Background of Big Data
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Abstract Between states, between enterprises and enterprises, between people, it can be stated that credit is full of every corner of our lives. But the current lack of social credit is fundamental. Credit risk is particularly prominent. In the extensive data generation today, the

Big Data Cognitive Storage: An Optimum Way of handling the Educational Data in Indian Scenario
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ABSTRACT The concept of big data has been incorporated in majority of areas. The educational sector has plethora of data especially in online education which plays a vital in modern education. Moreover digital learning which comprises of data and analytics

Research on Personal Privacy Protection of China in the Era of Big Data
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Abstract The purpose of this essay is to investigate the privacy concerns of Chinese, and to develop relevant protective measures. The groups are divided into two parts by gender and six parts by ages to analyze the different gender and different age groups of privacy

Harnessing Big Data for Precision Medicine: Infrastructures and Applications.
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Throughout medicine's history, disease prevention and treatment has been based on the expected outcome of an average patient1. Data from patients with the same disease were often pooled together for statistical analysis, and clinical guidelines derived from the

Big Data Management Challenges in SUPERSEDE.
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The H2020 SUPERSEDE project aims to support decision-making in the evolution and adaptation of software services and applications by exploiting end-user feedback and runtime data, with the overall goal of improving the end-users quality of This book comprises a collection of research contributions toward high-dimensional data analysis. In this data-centric world, we are often challenged with data sets containing many predictors in the model at hand. In a host of situations, the number of predictors may very

Sharing of Big Data in Healthcare: Public Opinion, Trust, and Privacy Considerations for Health Informatics Researchers.
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Abstract: Advances in technology has transformed clinical medicine; electronic patient records routinely store clinical notes, internet-enabled mobile apps support self- management of chronic diseases, point-of-care testing enables laboratory tests to be

Strategic Approach for Enhancing Reliability of Traffic Signals in an Urban Environment Using Big Data Analytics-Case Study from Washington, DC
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This paper discusses strategies implemented by the District Department of Transportation (DDOT) to 2 enhance the reliability of its signal system. The reliability measures discussed in this paper include 3 deploying backup generators and installing uninterruptable power

" Ballpark" Method for Estimating Pedestrian Bicyclist Exposure in Seattle: a Potential Option for Resource-Constrained Cities in an Age of Big Data
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MAP-21 emphasizes the use of data and performance measurement to track progress toward its 2 transportation policy and safety goals. As US cities and states implement policies aiming to 3 eliminate traffic deaths and serious injuries, exposure data is needed to

The Impact of Big Data Analytics on Customers Online Behaviour
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Abstract:Nowadays, huge amounts of data are exchanged and collected in the business world every day. For e-commerce firms, data from different sources (eg online transactions, search history and social media) can be analysed and provide insights to business

A Note on Obtain Confidentiality or/and Authenticity in Big Data by ID-Based Generalized Sign cryption.
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Abstract 3. based generalized signcryption can adaptively work as a signature scheme, an encryption scheme or a signcryption scheme and avoid weighty and complicated certificate management like Public Key Infrastructure. It has application in emerging paradigm

An Integration-Oriented Ontology to Govern Evolution in Big Data Ecosystems.
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ABSTRACT Big Data architectures allow to flexibly store and process heterogeneous data, from multiple sources, in its original format. The structure of those data, commonly supplied by means of REST APIs, is continuously evolving, forcing data analysts using it need to

HDM: Optimized Big Data Processing with Data Provenance.
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ABSTRACT Big Data applications are becoming more complex and experiencing frequent changes and updates. In practice, manual optimization of complex big data jobs is time- consuming and error-prone. Maintenance and management of evolving big data

Tracking chinese vulnerability in real time using Big Data
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In a recent working Paper (Shiller, R. 2017) 1, the Nobel Prize winner Robert Shiller claimed that the use of new empirical research through textual analysis and Big Data should be extended empirically to analyze the role of narratives in Business Cycle Theory. In this watch Internet of things (IoT) devices and services will guide healthcare toward new generation of proficient services while saving time and lives with high accuracy. Continuous progress in remote healthcare domain leads to the invention of wireless devices. Nowadays, a

Industrial Big Data Platform Based on Open Source Software
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Abstract. Deep integration of industrial system and information technology triggered the fourth industrial revolution-Industry 4.0 which based on cyber physical system and Industrial Big Data. Although many researchers have discussed the basic concept of industry 4.0 and The series Studies in Big Data(SBD) publishes new developments and advances in the various areas of Big Data-quickly and with a high quality. The intent is to cover the theory, research, development, and applications of Big Data, as embedded in the fields of

Big Data Analysis in Smart Manufacturing: A Review
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Abstract The technological evolution emerges a unified (Industrial) Internet of Things network, where loosely coupled smart manufacturing devices build smart manufacturing systems and enable comprehensive collaboration possibilities that increase the dynamic

Big Data in Health Care: A Mobile Based Solution
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Abstract:In the present Indian scenario, health care information is independently maintained by hospitals, institutions and not readily accessible in a centralized, informed manner. This greatly limits the health providers' efforts to improve quality and efficiency.

Big Data Challenges and Techniques
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Abstract: Big Data applies to data that can't be arranged or separated using standard methods or gadgets. For a considerable length of time, associations have been settling on business decisions in light of significant worth based data set away into social databases. Data privacy is now a hot topic. Big data have increased its importance. Nevertheless, computational methods for data privacy have been studied and developed since the 70s, at least. I would say that there are three different communities that work on data privacy from a

Small Boxes Big Data: A Deep Learning Approach to Optimize Variable Sized Bin Packing
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Abstract:Bin Packing problems have been widely studied because of their broad applications in different domains. Known as a set of NP-hard problems, they have different variations and many heuristics have been proposed for obtaining approximate solutions.

Big Data Research
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Big Data Research Efficient Resource Management System Based on 4Vs of Big Data Streams

ClubCF Approach for Big Data Application using Hadoop and Comparative Study with Item-Based CF
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Abstract: Inspired from service computing and cloud computing, an increasing number of services are increasing on the Internet. Because of this, service-related data become too big to be effectively processed by existing approaches. In view of this challenge, a clustering-

Cloud and Big Data: A Compelling Combination
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Abstract: With the rapid growth of emerging applications like social network analysis, semantic Web analysis and bioinformatics network analysis, a variety of data to be processed continues to witness a quick increase. Effective management and analysis of

Introduction to Big Data and Analytics: Concepts, Methods, Techniques, and Application Minitrack
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Abstract The Big Data minitrack features a number of papers addressing methods and techniques, issues and challenges, and organizational approaches to processing and managing Big Data within an organizational environment. This year The Big Data

A Perusal of Big Data Classification and Hadoop Technology
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Abstract Big Data make conversant with novel technology, skills and processes to your information architecture and the people that operate, design, and utilization them. The big data delineate a holistic information management contrivance that comprise and integrates

Unified Platform for AI and Big Data Analytics
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Abstract This paper describes an integrated platform for machine learning and big data analysis. The integrated platform is configured in a way that builds a large distributed data processing environment in the computing environment that makes up the NVIDIA AI This first edition of Strategic Engineering for Cloud Computing and Big Data Analytics focuses on addressing numerous and complex, inter-related issues which are inherently linked to systems engineering, cloud computing and big data analytics. Individuals have

A new Abnormal Identification Method of Wind Turbine Apply for Dealing with Big Data
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Abstract. In order to solve the problem that the identification method of wind turbine is not suitable for large data environment. In this paper, we propose FSIQUE. Firstly, the data space is divided into dense grid cells and sparse grid cells. Based on the FS-Tree storage

A Survey on Big Data Security and Related Techniques to Improve Security
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ABSTRACT Enhancement of security and privacy in mobile data centers is challengeable with efficient security key management. For marketing and research, many of the businesses use big data, but may not have the fundamental assets particularly from a security

A Survey Paper on Security Issue with Big Data on Association Rule Mining
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Abstract:Big data implies performing computation and database operations for massive amounts of data, remotely from the data owner's enterprise. Since a key value proposition of big data is access to data from multiple and diverse domains, security and privacy will play a

The Impact of Weather on Local Employment: Using Big Data on Small Places
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Abstract This paper exploits vast granular data over 10 million county-industry-month observations to estimate dynamic panel data models of weather's short-run employment effects. I estimated the contemporaneous and cumulative effects of temperature,

From Small to Big Data: paper manuscripts to RDF triples of Australian Indigenous Vocabularies
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Abstract This paper discusses a project to encode archival vocabularies of Australian indigenous languages recorded in the early twentieth century and representing at least 40 different languages. We explore the text with novel techniques, based on encoding them in

Challenges arise of Privacy Preserving Big Data Mining Techniques
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Abstract-Big data is being generated from various sources-transactions, social media, sensors, digital images, videos, audios and for domains including healthcare etc this data is known as big data. The characteristics of Big Data include 3 Vs they are Volume, Velocity Big Data applications are growing very rapidly around the globe. This new approach to decision making takes into account data gathered from multiple sources. Here my goal is to show how these diverse sources of data are useful in arriving at actionable information. In

Big Data in Real Estate From Manual Appraisal to Automated Valuation
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Abstract Real estate is the third-largest asset class for institutional investors, but determining the value of commercial real estate assets remains elusively hard. This paper provides a practical application of big data, employing a unique set of data on US multifamily assets, Big data is a significant concern for many academics, largely because it is complex, unmanageable, and open to misuse. While there is a tendency to believe that big data might be bad and possibly dangerous, many types and uses for it exist. The challenge of big

Benefits of Implement Big Data Driven Supply Chain Management: An ISM Based Model
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Abstract: The aim of this study is to investigate the benefits of big data driven supply chain management (BDSCM) practices on its implementation in Indian industries. These benefits fall into three general categories ie Man, Machine and Method. Interpretive Structural

Secure Big Data Access Control Policies for Cloud Computing Environment
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Abstract:As the term indicates the Big data it means we are work for the something big or can say something large in the Amount, Data the high volume is known as the big data. Now a Day for storing the data file in the Computer Science Engineering we are used the Hard

Traffic Management Using Big Data Analytic Tool
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ABSTRACT The analysis of the large-scale data of transportation and accidents has many potentials and it can give very useful insights from the hidden relationship of data. Accidents datasets are used to find main causes of traffic accidents which mainly causes traffic

Simplifying and Standardizing Clinical Documentation to Generate Big Data
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Page 1. 1 Simplifying and Standardizing Clinical Documentation to Generate BigData Jane Englebright, PhD, RN, CENP, FAAN May 2017 Page 2. 2 Overview EBCD Background Getting Organized Key Decisions Implementation Strategy Impact on BigData Tools Page 3. 3 The Abstract Nowadays with booming of sensor technology, location big data exhibit as high complexity, massive volume, real-time and stream-based characteristic. The current workflow systems are facing the challenge hardly to efficiently process the real-time location

Future of Big Data
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Abstract As quoted by CNBC Data is the new oil. Big data has become a business issue or at least an issue that business people are aware of. Due to the advancement of new technologies, devices, social media, the amount of data produced is growing rapidly every

Big Data for Organizations: A Review
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Abstract Big data challenges current information technologies (IT landscape) while promising a more competitive and efficient contributions to business organizations. What big data can contribute to is what organizations have been wanted for a long time ago. This

A Review on Big Data and Cloud Computing Security
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Abstract: Cloud services are popular all over the world to store and analyze Big Data. Now-a- days the research is full of work linked with the security breaches to these services, resulting in the exposure of huge amounts of private data. Security is increasingly critical for various

From Green, Mobile, Pervasive Networking to Big Data Computing
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Abstract The heterogeneous and dynamic nature of tactical coalition networks poses several challenges to common network management tasks, due to the lack of complete and accurate network information. We consider the problem of redeploying services in mobile tactical

Mining Big Data using Genetic Algorithm
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Abstract In today's era, the amount of data available in the world is growing at a very rapid pace day by day because of the use of internet, smart phones, social networks, etc. This collection of large and complex data sets is referred to as Big Data. Primitive database

WAVE: A 3D Online Previewing Framework for Big Data Archives.
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Abstract: With data sets growing beyond terabytes or even petabytes in scientific experiments, there is a trend of keeping data at storage facilities and providing remote cloud- based services for analysis. However, accessing these data sets remotely is cumbersome

Handling Complex Heterogeneous Healthcare Big Data
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Abstract With enormous amount of heterogeneous Big Data generated worldwide, the need of managing those data efficiently and in a collaborative way has become the need of the hour in the field of data science and technology. Big Data is massive growth of

Parallelizing Big Data Machine Learning Applications with Model Rotation
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Abstract. This paper proposes model rotation as a general approach to parallelize big data machine learning applications. To solve the big model problem in parallelization, we distribute the model parameters to inter-node workers and rotate different model parts in a

Big data analysis: Trump effect on trade narratives
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In 1933, President Franklin D. Roosevelt began to broadcast his famous fireside chats a critical move that helped to lift the economy out of the Great Depression by restoring people's confidence in the banking sector and the economic system as a whole. Since then,

Scouting Big Data Campaigns using TOREADOR Labs
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ABSTRACT TOREADOR Labs1 offer a Big Data Analytics-as-a-Service environment for testing simplified but real-life Big Data analytics vertical scenarios. Users are challenged with requirements, described from a business perspective, and are requested to compare

Big Data: why (oh why) computational social science
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Many others, in this volume and elsewhere, have and will comment on the political, social, economic, cultural and ethical implications of Big Data.(1) I strongly agree that those implications are important. Indeed, I believe they are the most urgent aspects of Big Data

EMOMETRIC: An IOT Integrated Big Data Analytic System for Real Time Retail Customer's Emotion Tracking and Analysis
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Abstract Business Intelligence is an important aspect of any organized commerce. With the growing competition and global outlook of the businesses, metric driven business insight has become extremely important for the corporations to analyse, understand and plan their

Review on Data Security on Cloud using Homomorphic Encryption over Big Data
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Abstract:: Over a period of the last decade, cloud computing has been the most emerging technology with steady growth. Traditional data storage systems are not able to handle large amount of data and analysis of those data. That's where cloud computing comes into the

Big Spatial Data Processing Frameworks: Feature and Performance Evaluation.
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ABSTRACT Nowadays, a vast amount of data is generated and collected every moment and often, this data has a spatial and/or temporal aspect. To analyze the massive data sets, big data platforms like Apache Hadoop MapReduce and Apache Spark emerged and A curriculum is defined as the material and content that comprises a course of study within a school or college, ie, a formal teaching program. The construct of education is differentiated from training based on the existence of a curriculum, through which a learner

A Cloud Based Distributed Medical Record System with Big Data Analytics
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Abstract: Medical health records are also known as public health record (PHR)/electronic health record (EHR). Generally the records stored in the hospital are very complex it contains data such as personal information which is in the relational database format,

Survey: Applications of Big Data in Healthcare Sector
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Abstract Big data and associated technologies have improved healthcare, from a better understanding of the origins of diseases to better diagnoses and to help patients in monitoring their own conditions. Healthcare organizations have a new way to improve their

Uncertainties in Big Data When Using Internet Surveillance Tools and Social Media for Determining Patterns in Disease Incidence
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To the Editor Deiner et al1 recently reported that the early detection of the spatial spread of epidemics may be possible by using online tools such as Google Trends to analyze online queries on disease symptoms appearing in Google searches and social media postings.

Review paper on Big Data in healthcare informatics
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Abstract-The rapid increase in computational power, the number of internet enabled data generating devices and the falling costs of data storage itself which make data available to everybody for virtually no cost have primarily lead to the emergence of big data. Health Care

Big Data Analytics
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Big data is no longer just a buzz word. It is a serious analytics area, requiring a rethinking of platforms, computing paradigms, and architectures. Big data analytics is now quintessential for a wide variety of traditional as well as modern applications, which has orchestrated

A Novel Approach for the Construction of Feature Collection and Correlation Engine for Low Latency Big Data Analytics in Highly Scalable Distributed
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Abstract: In light of the money saving positive conditions and basic organization movement both industry and affiliations show close th ought towards enormous information examination. In like way the need for huge information examination among the server

Big data A Review
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Abstract-The use of the Internet and various technologies worldwide, whether for social, personal or professional use, give rise to Big Data with an incredible speed. The Big data analysis has emerged as an important activity for many organizations. There is still a debate

Comparison and Analysis of Anonymization Techniques for Preserving Privacy in Big Data
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Abstract Modern technology and networking generates huge volume of data. Privacy of data is a crucial issue and a topic for significant research. Data publishing faces the problem of deciding how to publish useful data while preserving privacy-sensitive information according

Single-criteria Collaborative Filter Implementation using Apache Mahout in Big data
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Abstract:In everyday life recommendation system plays an important role and collaborative filtering (CF) is used widely in many e-commerce applicationsfor online product recommendation. A recommender system is mainly used for better predictions as better

Traffic-Aware Partition and Aggregation for Big Data Applications in Map-Reduce
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ABSTRACT The Map Reduce programming model simplifies large-scale data processing on commodity cluster by exploiting parallel map tasks and reduces tasks. Map Reduce is a programming model and an associated implementation for processing and generating big

Healthcare Prediction Analysis in Big Data using Random Forest Classifier
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Abstract: An infrastructure build in the big data platform is reliable to challenge the commercial and not-commercial IT development communities of data streams in high dimensional data cluster modeling. The knowledge discovery in database (KDD) is alarmed

Preserving Recomputability of Results from Big Data Transformation Workflows.
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Abstract: The ability to recompute results from raw data at any time is important for data- driven companies to ensure data stability and to selectively incorporate new data into an already delivered data product. When external systems are used or data changes over time

Experiences with the Model-based Generation of Big Data Pipelines.
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Abstract: Developing Big Data applications implies a lot of schematic or complex structural tasks, which can easily lead to implementation errors and incorrect analysis results. In this paper, we present a model-based approach that supports the automatic generation of code

The bigger, the better An investigation of optimal volume of big data
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Abstract Big data has changed the way modern businesses run. Recently, big data has drawn huge attention from academic researchers, industry practitioners, and policy makers. While the common belief about big data is that many benefits come from the data volume,

Managing Big Data Using Fuzzy Sets by Directed Graph Node Similarity
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Abstract: This paper proposes a novel algorithm for discovering similar nodes in very large directed graphs, with millions of nodes with billions of connections, which is based on the fuzzy set theory. The required input is a sample of representative nodes that are highly

Survey on Cloud Infrastructure Resource Allocation for Big Data Applications
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Abstract: The System utilizes the technique BRA algorithm to combine different types of workloads. It is used to compute the unevenness in the utilization of multiple resources on a server. This algorithm consists of three parts such as load prediction, hot spot mitigation, and

Integration of Big Data Technologies for Human Centric Wellness Data with Fingerprint Sensor
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Abstract: The advancement in new technologies and their data generation at substantial rate gave birth to the Big Data and require a robust platform to capture, retrieve, store, and process it. Data generated by Human centric services and applications such as sensors,

Metamaterials and Smart Structures in a Big Data Era
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Nowadays, there is no doubt that we have been into the big data era. Under such a circumstance, developing future smart materials and structural systems is largely dependent on big data analysis. This offers not only opportunities to help engineers improve the safety

NG2C: pretenuring garbage collection with dynamic generations for HotSpot big data applications
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Abstract Big Data applications suffer from unpredictable and unacceptably high pause times due to Garbage Collection (GC). This is the case in latency-sensitive applications such as on- line credit-card fraud detection, graph-based computing for analysis on social networks, etc.

A comparative study of recent advances in Big data Security and Privacy
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Abstract Big data is coming with new challenges in security; involve the three aspects of security:(confidentiality, availability, integrity) and privacy. These chal-lenges are due to the characteristics 5V of data in Big data: velocity, variety, volume, value, and veracity. And

Research on the Application of Energy Internet Big Data in Integrated Energy Market
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Abstract Energy Internet is deeply integrated by Internet concept, information technology and energy industry, and Energy Internet Big Data are one of core technologies that achieve energy-information-economic interconnection and improve the development and evolution Urban computing is a process of acquisition, integration and analysis of big and heterogeneous data generated by a diversity of sources in urban spaces, such as sensors, devices, vehicles, buildings and humans, to tackle the major issues that cities face, eg, air

Efficient Security Approach for Sharing Sensitive Data on Big Data Platform: User Trustworthiness and Multi Factor Authentication
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Abstract-Big Data is a buzzing word in today's computer science industry. Every organization be it big or small generated enormous amount of data on daily basis. This data that keeps on generating by each and every source on the internet can be termed as Big Data. This data

Big Data Privacy Methods
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Abstract-Big data is a term used for large and complex data sets that cannot be stored and processed using traditional data processing software. Since, big data require high computational power and storage, distributed system are used. Big data Analytics is a term

Big Data-Purchase: Designing an Effective User Purchase Model Based on User Profile, Likes, Tweets and Purchase History
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Abstract In twitter, tweets are raw form, while being informative, can also be overwhelming. It is a nightmare to plow through millions of tweets which contain enormous amount of noise and redundancy. In the proposed system clustering module, Tweets are Clustered and

Big Data Analysis to Measure Delays of Canadian Domestic and Cross-Border Truck Trips
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ABSTRACT 47 Transportation delays are a commonplace occurrence for road users. Delays due to congestion can 48 cause substantial stress and loss in time for passenger car users. On the other hand, delays have a 49 direct impact on economic performance due to the added costs

IMPROVING AIR QUALITY IN COMMUNITIES BY USING A MULTICRITERIA DECISION-MAKING MODEL BASED ON BIG DATA: A CRITICAL REVIEW
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Abstract. Information technology has advanced rapidly and has long been used in various fields and industries. The accumulated data are valuable in practical applications related to topics, such as scientific research, commercial development, and policy-making references.

The big data revolution: embrace it but proceed with caution
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The combination of a number of amazing advances in technology (resulting in faster computer processor speeds, increased density and capability of computer storage, and higher bandwidth network connections) has opened up a new world for big data the

BIG DATA MANAGEMENT ON WIRELESS SENSOR NETWORKS
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Recent development of various areas of information and communication technologies has contributed to an explosive growth in the volume of data. These data can be analyzed for insights that lead to better decisions and strategic business moves. Amazon Inc. shows us

Selection of Statistical Software for Solving Big Data Problems for Teaching
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1 2 The need for analysts with expertise in big data software is becoming more apparent in 3 today's society. Unfortunately, the demand for these analysts far exceeds the number 4 available. A potential way to combat this shortage is to identify the software sought by 5

The counterintuitive mechanism of graph-based semi supervised learning in the big data regime
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ABSTRACT In this article, a new approach is proposed to study the performance of graph- based semi-supervised learning methods, under the assumptions that the dimension of data p and their number n grow large at the same rate and that the data arise from a Gaussian Welcome to the dawn of the Era of Big Data. Big spatial data are characterised by three main features: volume beyond the limit of usual geo-processing, velocity higher than available by usual processes, and variety, combining more diverse geodata sources than usual. The

Formal Specification of a Truck Geo-Location Big-Data Application
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Abstract:In the last few year's social networks, e-commerce, mobile commerce, and sensor networks have resulted into an exponential increase in data size. This data comes in all formats ie structured, un-structured and semi-structured. To efficiently extract useful

Big data mining: A classification perspective
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ABSTRACT: An unprecedented amount of data is being generated and recorded every day. Big data is the term used to describe such data which is difficult to process, manage and analyze patterns using traditional databases or data mining algorithms. Mining big data is

Efficient Big Data Transfer Technique for Static Routing Networks
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Abstract The era of the networks technology encourages sharing scattered information and computing capabilities, limited network bandwidth in communication and memory space needed to store and transfer big data files between client, server and vice versa, which forms

Big Data Solution for Improving Traffic Management System with Video Processing
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Abstract: The problem of traffic congestion increases rapidly, due to the growing number of vehicles and the limited resources in our country. There is a high need for the introduction of new technology to improve the traffic control. This paper introduces a new technique using

BIG DATA TECHNOLOGY IN ESTABLISHMENT AND AMENDMENT OF WATER MANAGEMENT STANDARD
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Abstract. Based on the artificial intelligence and the big data analysis, the big data technique is a basic procedure combining the composition, consultation, release, implementation and supervision of the standard when it is applied in the development and revision of water

MapReduce Research on Warehousing of Big Data
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Abstract-The growth of social networks and affordability of various sensing devices has lead to a huge increase of both human and non-human entities that are interconnected via various networks, mostly Internet. All of these entities generate large amounts of various

A Review paper on BIG Data
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ABSTRACT Big data is a data or data sets so large or complex that traditional data processing applications are inadequate and distributed databases are needed. Firms like Google, eBay, LinkedIn, and Face book were built around big data from the beginning. It is a

Adequate Analyzing of Social Network based on Big Data
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Abstract:As a late there has been an immense increase of social network of data in modern world. This is evident within the field of social media. The amount of social data is growing fast. For a social media networking platform, this provides means of getting more information

Big data big opportunities for librarians 2017
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Page 1. BigDataBig Opportunities for Librarians 2017 Brian Hickey MICS Senior Lecturer IS / IT Page 2. What is BigData it describes a quantity of data that's so large that traditional approaches to data analysis are doomed to failure. I see bigdata as storytelling White JM,

A Study on Big Data Analysis on WSN for Different Data
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ABSTRACT Big data represent a new era in data exploration and utilization and covers various industrial applications, for example, professionalizing business intelligence operation in the automobile industry, solving routing and scheduling problems in

The Effect of Weather on User-Generated Big Geo Data in Mobile Phone Networks.
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ABSTRACT User-generated data in mobile networks are normally used as proxies for human activity and mobility, and it can be used in an extensive variety of research problems including mobility, city planning, tourism, event detection, urban well-being and many others.

The datafication of transparency work: A report from Los Angeles. Proceedings for the Interactions Symposium on Big Data.
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Abstract: Open government data answers cities' need for new capital resources in a post- recession context and addresses a self-conscious concern about the lagging technological modernization of public institutions. This understanding promotes data-centric management

Research on P2P Network Loan Risk Evaluation Based on Generalized DEA Model and R-Type Clustering Analysis under the Background of Big Data
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Abstract Internet financial risk is not only directly related to the operation and development of the Internet financial system itself, but also has a very important impact on the country's macroeconomic operation because of its rapid development speed and growing scale of

Novel EU Legal Requirements in Big Data Security
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Everybody may disseminate this article by electronic means and make it available for download under the terms and conditions of the Digital Peer Publishing Licence (DPPL). A copy of the license text may be obtained at http://nbn-resolving. de/urn:nbn:de:0009-dppl-v3-en8. Recommended

Studies in Big Data Series: Internet of Things and Big Data Technologies for Next Generation Healthcare
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Abstract The health care systems are rapidly adopting large amounts of data, driven by record keeping, compliance and regulatory requirements, and patient care. The advances in healthcare system will rapidly enlarge the size of the health records that are accessible

Evaluating and Enhancing Efficiency of Recommendation System using Big Data Analytics
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Abstract-Recommendation System helps purchaser in finding out the most favorable item he should purchase out of a large number of items, by predicting rating of items that are not yet rated by him. It helps user by showing list of items that the user may like to buy, based on

Big Barriers to Big Data Analytics in Medicare
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Abstract The Center for Medicare and Medicaid Services (CMS) manages health care for over one hundred million patients. A large majority of these are Medicare members, for which the CMS is responsible for administering health care benefits through medical claims

ANALYSIS ON CREDIT CARD FRAUD DETECTION TECHNIQUES BY DATA MINING AND BIG DATA APPROACH
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Abstract:-In this digital world, Credit card is one of the most divisive products among all the available financial tools. Credit card becomes popular mode of payment for both online as well as offline purchase. Besides being convenient, there are credit card frauds which

Temporal big data for tire industry tactical sales forecasting
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Abstract We propose a forecasting method to improve accuracy for tactical sales predictions at a major supplier to the tire industry. This level of forecasting serves as direct input for the demand planning, steering the global supply chain and is typically up to a year ahead. The

Sampling-Based Algorithms for Estimating Structure in Big Data.
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Abstract The purpose of this project was to develop sampling-based algorithms to discover hidden structure in massive data sets. Inferring structure in large data sets is an increasingly common task in many critical national security applications. These data sets come from

Understanding Big Data to Improve Knowledge Management Practices: Gaps and Limitations
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Abstract: People can access to large number of data in single day than most people that have access to data in the earlier decade. This data is made in numerous structures and it highlights the advancement of big data. Big data in organizations have transformed the way

Pattern Based Filtering Approach for Big Data Application
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ABSTRACT Now a day's large Number of services are emerging on the Internet due to various social networking sites, services, cloud computing. Result of this is, service-relevant data become too big to be effectively processed by traditional approaches. Similarly growing

A Survey Based on Mobile Cloud Computing in Health Care Application and Big Data Logistic
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Abstract: Mobile Cloud Computing which combines the mobile computing and cloud computing for better storage capacity and processing. With recent development in technology, mobile cloud computing and big data analytics play an important role in the

Decisive Taxi Booking Model Using Big Data
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ABSTRACT: Taxis play a vital theatrical role in urban transformation in terms of local and regional approachability to and from the city. Taxi number one wood s' conclusion to make misstep are one of the most important factors that maintain taxicab demand and supplying

Exploring Adaptive Teaching Competencies in Big Data Era.
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Abstract:in the last decade, the adoption of digital tool to support educational process has been emerged among the universities around the world. In big data era, the demand to utilize it in adaptive teaching should be considered to enable the teaching performance

Persuading with Big Data Keep it Simple
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This publication is designed to provide accurate and authoritative information in regard to the subject matter covered. It is provided with the understanding that the publisher is not engaged in rendering legal, accounting, or other professional services. If legal advice or

Privacy Protection of Big Data Using RingSignature
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Abstract-In recent years, big data became a hot research topic. The increasing quantity of huge information also will increase the prospect of breaching the privacy of people. Since huge information need high process power and enormous storage, distributed systems are

Real-time Process Modelling Based on Big Data Stream Learning
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Abstract Most control systems now are assumed to be unchangeable, but this is an ideal situation. In real applications, they are often accompanied with many changes. Some of changes are from environment changes, and some are system requirements. So, the goal of

A Novel Framework for Electronic Fund Transfer Using Big Data
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Abstract Cashless transaction growth rate is very high in recent years. The traditional cash oriented transaction recently has been upgraded to Digital transaction, where the values of currency are transformed in numeric bits. As it provides a fast fund transfer from anywhere

Towards an ApproachBased on Hadoop to Improve and Organize Online SearchResults in Big Data Environment
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ABSTRACT: In this article we study the technical specifications required for the proper conduct of online search process in Big Data environment, with the intention to evaluate the consistency of collected data and identify opportunities to improve and organize search

Efficient Dynamic Load-Balance Flow Scheduling in cloud for Big Data Centers.
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Abstract-Big data centers in cloud, large amount of data needs to be transferred frequently among thousands of interconnected servers. In which load balancing and flow scheduling is a challenging issue. The Open Flow is a auspicious solution to balance data flows in big

The Power of Big Data: Historical Time Series on German Education
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Abstract Numerous primary investigators collected and processed long termed time series on German educational statistics in the context of their studies. As a result there are a multitude of quantitative empirical studies. On the one hand there is the project group on

Deduplication on Encrypted Big Data in HDFS
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Abstract:Data de-duplication is single of essential data compression systems for rejecting duplicate replicas of repeating data, and has been generally used in cloud storage to decrease the total of storage space and save bandwidth. To make sure the privacy been

Research on the Application of the Culture Resource Management Based on Big Data Technology
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Abstract: Culture resource is the key factor to support China's culture power, which is also the basement and fountainhead of China's culture and culture industry development. Nowadays, we focus on developing digital work on material culture and intangible cultural

Performance Benchmarking with Big Data
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Geotab is a global leader in telematics, providing open platform fleet management solutions to businesses of all sizes. Geotab's intuitive, full-featured solutions help businesses better manage their drivers and vehicles by extracting accurate and actionable intelligence from real-time and

Emergence of Unstructured Data and Scope of Big Data in Indian Education
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Abstract:The Indian Education sector has grown exponentially in the last few decades as per various official reports [22]. Large amount of information pertaining to education sector is generated every year. This has led to the requirement for managing and analyzing the

A Survey on Big Data Privacy Preserving Publishing Techniques
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Abstract Big data describes very large data sets that have more diverse and complicated structure like weblogs, social media, email, sensors, and photographs. These less structured data and distinctiveness characteristics from traditional databases typically associated with

Children and the Data Cycle: Rights and Ethics in a Big Data World
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Abstract: In an era of increasing dependence on data science and big data, the voices of one set of major stakeholders the world's children and those who advocate on their behalf have been largely absent. A recent paper estimates one in three global internet users is a

Review on Big Data Security in Hadoop
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Abstract-Hadoop prominently utilized for handling vast measure of information on its dispersed programming structure with Hadoop disseminated document framework (HDFS), yet preparing touchy or individual information on circulated environment requests secure

Incremental Query Processing by Relevance Feedback Using Big-Data Streams
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ABSTRACT This paper presents deals social network in large scale distributed server data storing and retrival process is more complex. There has been an explosive increase in media data, such as images, videos and social media in the internet, mobile devices, and

MESURING THE EFFICENY OF USING HADOOP TO ANALYZE BIG DATA-A CASE STUDY ON TWITTER DATA SET
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ABSTRACT In last decades, the continuous enhancements of computational power have produced a massive data flow. Big data has been becoming more understandable as well as becoming more available. For instance, the famous online social networks, such as

PARALLEL K-MEANS FOR BIG DATA: ON ENHANCING ITS CLUSTER METRICS AND PATTERNS.
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ABSTRACT K-Means clustering algorithm has been enhanced based on MapReduce such that it works in distributed Hadoop cluster for clustering big data. We found that the existing algorithm have not included techniques for computing the cluster metrics necessary for

Big Data is no longer equivalent to Hadoop in the industry.
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Abstract: For a long time, industry projects solved big data problems with Hadoop. The massive scalability of MapReduce algorithms and the HBase database brought solutions to an unanticipated level of computing. But this obstructs the view for the need of change.

A Survey on the Concepts and Challenges of Big Data: Beyond the Hype
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Abstract Today we are living in the cloud era, were an explosive amount of data being generated every minute of a day. Size is the only dimension that leaps out the big data. The data which has high volume, high velocity, and high varietyof informationassets that demand

" Big Data Science with the BD2K-LINCS Data Coordination and Integration Center" MOOC Description, Retrieved from Coursera 2017-06-27
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About this course: The Library of Integrative Network-based Cellular Signatures (LINCS) is an NIH Common Fund program. The idea is to perturb different types of human cells with many different types of perturbations such as: drugs and other small molecules; genetic

Wearable Technology Orientation Using Big Data Analytics for Improving Quality of Human Life
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Abstract: Wearable devices and the data generated by them give a unique opportunity to understand the user behavior and predict future needs due to its personal nature. In coming years this data will grow exponentially due to huge popularity of wearable devices. Analysis

Disease predictive, best drug: big data implementation of drug query with disease prediction, side effects feedback analysis
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Abstract Nowadays medicine consuming has become day to day activities for the people who were suffering from diseases. Hence many of the people are not aware of the medicine which is prescribed by doctors or pharmacies. Once they are affected by diseases they are

Big Data and Google Cloud Platform: Usage to Create Interactive Reports
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This study attempts to show how the use of Big Data products on Google Cloud Platform can be a possible solution to process considerable amounts of data. The focus of this thesis is on Big Data processing and modern tools offered on Google's technology stack. The goal of this

Research in Big Data Warehousing using Hadoop
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ABSTRACT Traditional data warehouses have played a key role in decision support system until the recent past. However, the rapid growing of the data generation by the current applications requires new data warehousing systems: volume and format of collected

Canopus: Enabling Extreme-Scale Data Analytics on Big HPC Storage via Progressive Refactoring
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Abstract High accuracy scientific simulations on high performance computing (HPC) platforms generate large amounts of data. To allow data to be efficiently analyzed, simulation outputs need to be refactored, compressed, and properly mapped onto storage

Algorithms and Complexity Results for Learning and Big Data
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In the last few decades, the higher availability and decreasing cost of computational power and storage, along with significant innovations in methods for processing large data sets, introduced the era of big data. According to some estimates, the amount of data generated

A Review on data visualisation tools Used for Big Data
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Abstract-Data visualization is an enactment of presenting the outcomes generated from analysis process of big data. On the basis of complexity of the data being analysed and the aspects from which it is analyzed, visuals can vary in terms of their dimensions such as

Big Data: Tools and Applications
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Abstract: The amount of data in our industry and the world is exploding. Data is being collected and stored at unprecedented rates. The challenge is not only to store and manage the vast volume of data, but also to analyze and extract meaningful value from it. There are

Big Data Processing with Hadoop: A Review
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Abstract We live in an era where data is being generated by everything around us. The rate of data generation is so alarming, that it has engendered a pressing need to implement easy and cost-effective data storage and retrieval mechanisms. Furthermore, big data needs to be

Grid-based co-location mining algorithms on GPU for big spatial event data: a summary of results
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Abstract. This paper investigates the colocation pattern mining problem for big spatial event data. Colocation patterns refer to subsets of spatial features whose instances are frequently located together. The problem is important in many applications such as analyzing

Optimizing High Performance Big Data Cancer Workflows
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ABSTRACT Appropriate optimization of bioinformatics workflows is vital to improve the timely discovery of variants implicated in cancer genomics. Sequenced human brain tumor data was assembled to optimize tool implementations and run various components of RNA

Design of a Platform for Collecting and Analyzing Agricultural Big Data
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[Abstract] Big data have been presenting us with exciting opportunities and challenges in economic development. For instance, in the agriculture sector, mixing up of various agricultural data (eg, weather data, soil data, etc.), and subsequently analyzing these data

Survey on Video Big Data: Analysis Methods and Applications
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Abstract In recent years, Big Data has become high-focus of researchers as many organizations have been processing huge amount of information. We face a diversity of datasets from different sources in different domains such as Flickr, Twitter, YouTube,

Secure Semantic Search Over Encrypted Big Data in the Cloud
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ACKNOWLEDGMENTS I sincerely thank my supervisor Professor Mohsen Amini Salehi for his constant encouragement and passion for computer science and, especially, for his guidance and support. Thanks to my thesis committee, Xindong Wu, Anthony Maida, and

Class technology analysis of big Big Data
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The category of large Big Data includes information which is no longer possible to process by conventional methods, including structured data, media and random objects. Some experts believe that in order to work with them to replace the traditional monolithic systems

The Importance and Problems of Big Data
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Anton Grudev LMKorotenko, research supervisor NM Nechai, language adviser National Mining University, Dnipro, Ukraine The Importance and Problems of Big Data In the era of high-tech we can hear the term Big Data more and more often. This fact indicates that the importance of

Evaluation of the PhD Thesis: Algorithms and data structures for big labeled graphs
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is focused on algorithms for large labelled graphs, being those ones either knowledge graphs based on entities and relations among them, or social networks in which relations among nodes might be social interactions or article views. Graphs taken in

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