ENGINEERING RESEARCH PAPERS

BIG DATA IEEE PAPER 2018




Urban Big Data : City Management and Real Estate Markets
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In this report, we discuss recent trends in the application of urban big data and their impact on real estate markets. We expect such technologies to improve quality of life and the productivity of cities over the long run. We forecast that smart city technologies will reinforce the primacy of

Insights from Big Data (1): Viewing of Real-Time Continuous Glucose Monitoring Data and its Impact on Time in Range
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ConclusionCompared to users with fewer SVs, those with more SVs had higher proportions of sensor glucose values in the target range and lower proportions in hyperglycemia.Even patients with infrequent SVs had very little clinically meaningful hypoglycemia, potentially

Policy implications of big data in the health sector
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Union has adopted a General Data Protection Regulation and Switzerland is drafting a revision to its Federal Data Protection Act. Such reforms attempt to increase the data subjects privacy options and introduce further controls on data uses. However, the control of

Investigating Chinas Urban Air Quality Using Big Data Information Theory, and Machine Learning.
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ABSTRACT With the development of the economy and industrial construction, air quality deteriorates dramatically in China and seriously threatens peoples health. To investigate which factors most affect air quality and provide a useful tool to assist the prediction and

5G-Smart Diabetes: Toward Personalized Diabetes Diagnosis with Healthcare Big Data Clouds
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ABSTRACT Recent advances in wireless networking and big data technologies, such as 5G networks, medical big data analytics, and the Internet of Things, along with recent developments in wearable computing and artificial intelligence, are enabling the

Introduction to the Minitrack on Interactive Visual Analytics and Visualization for Decision Making: Making Sense of Big Data
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The topic of this minitrack, Interactive Visual Analytics and Visualization for Decision Making, has applications in a broad range of situations where human expertise must be brought to bear on problems characterized by massive datasets and data that are uncertain in fact Internet of Things and big data are two sides of the same coin. The advancement of Information Technology (IT) has increased daily leading to connecting the physical objects/devices to the Internet with the ability to identify themselves to other devices. This

MDM: Governing Evolution in Big Data Ecosystems
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ABSTRACT On-demand integration of multiple data sources is a critical requirement in many Big Data settings. This has been coined as the data variety challenge, which refers to the complexity of dealing with an heterogeneous set of data sources to enable their integrated

Concurrence of Big Data Analytics and Healthcare: A Systematic Review
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ABSTRACT Background: The application of Big Data analytics in healthcare has immense potential for improving the quality of care, reducing waste and error, and reducing the cost of care. Purpose: This systematic review of literature aims to determine the scope of Big Data

Introduction to the Minitrack on Big Data on Healthcare Application
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The recent confluence of new technologies and dataintensive research methodologies offers a new research platform for the interdisciplinary research. High-performance computing, client-cloud architecture, broadband networks, personal devices and sensors

Cross-Language Optimizations in Big Data Systems: A Case Study of SCOPE
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ABSTRACT Building scalable big data programs currently requires programmers to combine relational (SQL) with non-relational code (Java, C#, Scala). Relational code is declarative a program describes what the computation is and the compiler decides how to distribute the

Match Analysis, Big Data and Tactics: Current Trends in Elite Soccer
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The digital revolution has already reached professional soccer some time ago and the same applies to traditional match observation and performance analysis. These days, the athletes every action on the field is recorded sometimes manually, sometimes using (semi-)

Security and Clustering Of Big Data in Map Reduce Framework: A Survey
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ABSTRACT For maintaining the authenticity, privacy and confidentiality of larger dataset are outsourced to the cloud in the encrypted format. Cloud storage provides data management and reduces the costs. Various clustering methods like K mean, K nearest niebouring

Introduction to the Minitrack on Organizational Issues of Business Intelligence, Business Analytics and Big Data
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This minitrack, now in its 28th year, continues its tradition as the longest running HICSS minitrack related to BI and BA and more recently big data . While BI/BA technologies and applications are rapidly changing, the minitrack remains focused on the organizational

Introduction to the Minitrack on Text Mining in Big Data Analytics
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ABSTRACT This mini-track recognizes the reality that global collaboration systems, social media, and information systems of all types, generate enormous amounts of unstructured textual data including: system logs, email archives, websites, blog posts, meeting

A DEEP LEARNING PLATFORM FOR DIABETES BIG DATA ANALYSIS
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1Centre for Bio-Inspired Technologies, Institute of Biomedical Engineering, Imperial College London, UK 2Data Science Institute, Imperial College London, UKDeep learning has been proven to achieve stateof-art performance in modelling complex behaviour and the

A Call to Investigate the Relationship Between Education and Health Outcomes Using Big Data .
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ABSTRACT There exists an assumption that improving medical education will improve patient care. While seemingly logical, this premise has rarely been investigated. In this Invited Commentary, the authors propose the use of big data to test this assumption. The authors

Enabling Global Big Data Computations
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ABSTRACT Most analytics projects focus on the management of the 3Vs of big data and use specific stacks to support this variety. However, they constrain themselves tolocaldata data that exists within orcloseto the organization, or external data imported to local

Building a Big data provenance with its applications for Smart cities
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ABSTRACT -The sustainability of enormous and eternally data pools using different formats that cannot be processed with conventional software tools is the next big confront for web designers, Internet marketers and software engineers that requires new technologies and

Data series management: Fulfilling the need for big sequence analytics
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ABSTRACT Massive data sequence collections exist in virtually every scientific and social domain, and have to be analyzed to extract useful knowledge. However, no existing data management solution (such as relational databases, column stores, array databases, and

Performance Analysis of Big Data Intrusion Detection System over Random Forest Algorithm
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ABSTRACT The Internet has grown rapidly in the last ten years. Consequently, the interconnection of computers and network devices has become so complex for monitoring that even the security experts do not fully understand its deepest inner workings. Personal

Towards a Security Reference Architecture for Big Data
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ABSTRACT Companies are aware of Big Data importance as data are essential to conduct their daily activities, but new problems arise with new technologies, as it is the case of Big Data ; these problems are related not only to the 3Vs of Big Data but also to privacy and

Big Data and Health Economics: Opportunities, Challenges and Risks
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ABSTRACT Big Data offers opportunities in many fields. Healthcare is not an exception. In this paper we summarize the possibilities of Big Data and Big Data technologies to offer useful information to policy makers. In a world with tight public budgets and ageing populations we

Assimilation of Business Intelligence (BI) and Big Data Analytics (BDA) Towards Establishing Organizational Strategic Performance Management Diagnostics
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ABSTRACT : In this research paper, we had observed and proposed the characteristic of Big Data Analytics (BDA) and Business Intelligence (BI) in observing the voluminous picture of organizational strategic performance management diagnostics framework. In our study, we

Timescape and Memory: Visualizing Big Data at the 9/11 Memorial Museum
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For visitors to the 9/11 Memorial Museum in New York City, the dominant experience is one of sensory and emotional overload. Set deep in the ground at the site of the former World Trade Center, the museum is explicit about its desire toconvey the scope and scale of loss

Big Data Technologies for DNA Sequencing
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Genome analyses play an important role in different applications in the life sciences ranging from animal breeding to personalized medicine. The technological advancements in DNA sequencing lead to vast amounts of genome data being produced and processed on a daily

Big Data
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We live in an era of data deluge.Pervasive sensors collect massive amounts of information on every bit of our lives, churning out enormous streams of raw data in a wide variety of formats. To get a sense of scale, users of the Facebook social network happily feed 10

Big Data and Its Challenges
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ABSTRACT Big Data is still a maturing and evolving discipline. Big data databases and files have scaled beyond the capacities and capabilities of commercial database management systems. Structured representations become a bottleneck to efficient data storage and The seriesStudies in Big Data(SBD) publishes new developments and advances in the various areas of Big Dataquickly 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

Digital Inequalities and Discrimination in the Big Data Era Jenifer Sunrise Winter
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Governing the collection and use of personally identifiable data is proving a great challenge in the Big Data Era. We are confronted with a lack of transparency about what data are collected, how they are being used, who is deriving value from their use (eg, individuals

Applicability of Big Data Techniques to Smart Home
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ABSTRACT : This paper presents the main foundations of Big Data deployment in smart homes. The proposed architecture can be applied to different smart cities applications. We describe multiple objectives of smart cities based on big data analysis. This approach is to analyze

Emerging Technologies: IoT, Big Data and CPS with Sensory Systems
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This collection of studies is focused on a three-legged stand in which now is focused on the research community: the internet of things (IoT), the cyber-physical systems (CPS), and the datadriven knowledge extraction based on big data . The availability of uniquely

Development of Injuries Prevention Policies in Mexico: A Big Data Approach.
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IN the past, injuries lacked from government and society attention because they were considered as an accident and, consequently, inevitable. Nowadays, health care literature does not longer contemplate that injuries are inevitable; on the contrary, they can

Systems analysis and big data reveals benefit of new economy solutions at multiple scales
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ABSTRACT : Historical demographic, water resources and economic big data was examined and included in systems analysis to reveal the benefits of distributed solutions for household water efficiency and rainwater harvesting in Australian capital city regions. A

Impacts of Big Data Analytics and Absorptive Capacity on Sustainable Supply Chain Innovation: A Conceptual Framework. LogForum 14 (2), 151-161
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ABSTRACT . Background: Big data and predictive analytics could improve the ability to help with the sustainability of sourcing decisions. Sustainability has become a necessary goal for businesses and a powerful strategy for competitive advantage. Theresa need for

Current Challenges for Big Omics Data Analytics and Precision Medicine
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Background Precision medicine aims at the assignment of the most appropriate therapy for a particular patient. This notion entails a fundamental concept: the precise identification of the patient-therapyorpatient-evolutionpairs. In order to realize this concept, it is necessary

Privacy Issues in Big Data Mining Infrastructure, Platforms, and Applications
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We are pleased to announce the publication of the special issue focusing on privacy issues in big data mining infrastructure, platforms, and applications. The integration of extensive parallel computation power, scalable platforms, and advanced communications has The last decade has witnessed remarkable changes in IT industry, virtually in all domains. The 50th Annual Convention, CSI-2015, on the themeDigital Lifewas organized as a part of CSI-2015, by CSI at Delhi, the national capital of the country, during December 02 05

Introduction to the Minitrack on Big Data and Analytics: Pathways to Maturity
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This minitrack is focused on exploring theory, techniques, applications, and understanding of the maturing field of Big Data and Analytics. We have selected papers that demonstrate innovative approaches to analytics and introduce new concepts. The first session focuses on

Big Data : The Futuristic Promising Savoir
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ABSTRACT Big Data a new jackpot in the world of vocabulary is the recent hot term which has made itself omnipresent in debate and occupied its place on almost every lip. Data as usual is somehow known to everyone and now that data is not only data its Big Data . Big

Big Data Mining
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Page 1. BigData Mining 1 1062DM03 MI4 (M2244) (2995) Wed, 9, 10 (16:10-18:00) (B206) (Association Analysis) Min-Yuh Day Assistant Professor 4 Page 5. 5 Transaction ID Items bought T01 A, B, D T02 A, C, D T03 B, C, D, E T04 A, B, D T05 A, B, C, E T06 A, C T07 B, C, D T08 B

Comparative Analysis of Big Data Technologies
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ABSTRACT Recent technological advances and reduction in storage prices has led to accumulation of huge amount of data known as Big Data . This data belonging to different applications and timelines, is difficult for organisations to process. In order to solve this

Automated System for Road Safety Enhancement using Big Data Reports
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ABSTRACT -The road safety and enhancement is very important in todays world. There are many new technologies which emerge to minimize the accidents that occur. As a complete system, this paper gives a useful idea for both controlling the speed accordingly to the

Efficient Scheduling of Scientific Workflows using Multiple Site Awareness Big Data Management in Cloud
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ABSTRACT The worldwide organization of cloud server farms is empowering expansive scale logical work processes to reinforce execution and convey fast reactions. This extraordinary topographical appropriation of the calculation is increased by associate

Security and Privacy Protection of Social Networks in Big Data Era
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Big Data draws the attention not only because of its great power but for the severe security and privacy challenges it brings. With the sources from various formats of user generated contents like digital video, blogging, forms, online social conversations, and so on, Big Data This volume comprises the revised versions of the selected papers presented during CLADAG 2015, the 10th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society (SIS) that was held in Santa Margherita di Pula, Cagliari, Italy

Big Data Reduction Technique using Parallel Hierarchical Agglomerative Clustering.
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ABSTRACT Volume and velocity are two characteristics of big data . Big datacomes inwith high velocity that the volume increases quickly. Efforts are needed to resolve these issues. This paper presents a big data reduction technique that can be used to reduce incoming big

Next-generation ETL Framework to address the challenges posed by Big Data
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ABSTRACT The specific features of Big Data ie, variety, volume, and velocity call for special measures to create ETL data pipelines and data warehouses. A rapidly growing need for analyzing Big Data calls for novel architectures for warehousing the data such as data lakes

A Big Data Analysis and Mining Approach for IoT Big Data
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ABSTRACT These days, large amounts of data are produced by various ways such as stock data market basket transactions, IoT sensors, etc. Such data can be accumulated and analyzed to provide helpful information in our lives. With the rapid development of IoT

Big Data and Public Health Systems: Issues and Opportunities.
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ABSTRACT Over the last years, the need for changing the current model of European public health systems has been repeatedly addressed, in order to ensure their sustainability. Following this line, IT has always been referred to as one of the key instruments for

An introduction to Data Science and Big Data
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This is maybe the most important aspect of the data science paradigm. Measuring and recording data does not immediately produce usable information or knowledge. For instance, recording a person talking produces data but without specific processing its just a

BIG DATACONCEPTS, ANALYTICS, ARCHITECTURES OVERVIEW
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ABSTRACT : The term, Big Data has been coined to refer to the gargantuan bulk of data that cannot be dealt with by traditional datahandling techniques. Big Data is still a novel concept, and in the following literature we intend to elaborate it in a palpable fashion. It

Time Optimization of Multiple Knowledge Transfers in the Big Data Environment
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ABSTRACT : In the big data environment, enterprises must constantly assimilate big data knowledge and private knowledge by multiple knowledge transfers to maintain their competitive advantage. The optimal time of knowledge transfer is one of the most important

PERFORMANCE TESTS ON MERGE SORT AND RECURSIVE MERGE SORT FOR BIG DATA PROCESSING
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ABSTRACT Merge sort algorithm is widely used in databases to organize and search for information. In the work the author describes some newly proposed not recursive version of the merge sort algorithm for large data sets. Tests of the algorithm confirm the effectiveness

A Scenario on Big Data
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ABSTRACT -The proliferation in digitalized world (growth in computers memory, mobiles and storage capacity) are drawing huge attention towards the Big Data . The researchers from all part of globe from Information Technology wants to extract valuable information from

Big Data Analytics for Wireless and Wired Network Design: A Survey
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ABSTRACT Currently, the world is witnessing a mounting avalanche of data due to the increasing number of mobile network subscribers, Internet websites, and online services. This trend is continuing to develop in a quick and diverse manner in the form of big data . Big

3D big data modeling and visualization of underground faults through information fusion of 2D underground faults mapping and seismic data mining
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This paper aims to fuse three dimensional information to known two dimensional mappings of underground faults by mining their depth extent information from earthquake hypocenters associated to particular underground faults. Self developed spatio-temporal clustering

Towards a Smart Selection of Cloud Resources for Multimedia Big Data Computing
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ABSTRACT : the last few years have been marked by the presence of multimedia data (images and videos) in our everyday lives. The latter are characterized by a fast frequency of creation and sharing since images and videos can come from different devices such as cameras ABSTRACT . The DICE EU H2020 Project is exploring model-driven ways to support the continuous design and development of Quality-aware DataIntensive applications (DIA) by means of DIA-specific quality analyses (eg, performance, reliability, cost) applied on key DIA
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