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California State University, Los Angeles. Computer Science. degree granting institution.

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Chen, Xin, author.

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Choi, Wonje, author.

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George Mason University. Earth Systems and Geoinformation Sciences. degree granting institution.

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George Mason University. Electrical and Computer Engineering. degree granting institution.

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Gundala palle, Santosh reddy, author.

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Hossen, Tareq, author.

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Hu, Fei, author. (orcid)0000-0001-5231-2303

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Kurkcu, Abdullah, author.

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Malik, Maria, author. (orcid)0000-0001-8425-2501

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Mathias, Henry, author.

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New York University Tandon School of Engineering. Civil Engineering. degree granting institution.

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Nitin, Nitin, author.

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Patel, Parth, author.

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Paulson, Erik Steven, author.

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Princeton University. Computer Science. degree granting institution.

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Purdue University. Electrical and Computer Engineering. degree granting institution.

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Sacha, Dominik, author.

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Salijeni, George, author.

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Sawada, Kae, author.

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State University of New York at Stony Brook. Biomedical Informatics. degree granting institution.

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The University of Manchester (United Kingdom). degree granting institution.

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The University of North Dakota. Electrical Engineering. degree granting institution.

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The University of Wisconsin - Madison. Computer Sciences. degree granting institution.

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Universitaet Konstanz (Germany). degree granting institution.

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University of Delaware. Bioinformatics and Systems Biology. degree granting institution.

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University of Missouri - Kansas City. Electrical Engineering. degree granting institution.

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University of Wyoming. Statistics. degree granting institution.

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Walden University. Management. degree granting institution.

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Washington State University. Electrical Engineering. degree granting institution.

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Yin, Tianzhixi, author.

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Zhang, Haoyu, author.

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Big Data Analytics: Methods and Applications için kapak resmi

Big Data Analytics: Methods and Applications

1.

Big Data Analytics: Methods and Applications

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Paulson, Erik Steven, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10827019

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Big Data Analytics: Methods and Applications / Paulson, Erik Steven, author.

Analyzing Small Businesses' Adoption of Big Data Security Analytics için kapak resmi

Analyzing Small Businesses' Adoption of Big Data Security Analytics

2.

Analyzing Small Businesses' Adoption of Big Data Security Analytics

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Mathias, Henry, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:13857503

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Analyzing Small Businesses' Adoption of Big Data Security Analytics / Mathias, Henry, author.

Big Data Analytics and the Social Relevance of Auditing: An Exploratory Study için kapak resmi

Big Data Analytics and the Social Relevance of Auditing: An Exploratory Study

3.

Big Data Analytics and the Social Relevance of Auditing: An Exploratory Study

by

Salijeni, George, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:13870328

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Alıntı:

Big Data Analytics and the Social Relevance of Auditing: An Exploratory Study / Salijeni, George

Supervised Machine Learning for Small RNA Informatics and Big Data Analytics in Plants için kapak resmi

Supervised Machine Learning for Small RNA Informatics and Big Data Analytics in Plants

4.

Supervised Machine Learning for Small RNA Informatics and Big Data Analytics in Plants

by

Patel, Parth, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:13427699

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Supervised Machine Learning for Small RNA Informatics and Big Data Analytics in Plants / Patel

Integrative Big Data Analytics for Public Health Studies için kapak resmi

Integrative Big Data Analytics for Public Health Studies

5.

Integrative Big Data Analytics for Public Health Studies

by

Chen, Xin, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:13420694

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Integrative Big Data Analytics for Public Health Studies / Chen, Xin, author.

Knowledge generation in visual analytics : integrating human and machine intelligence for exploration of big data için kapak resmi

Knowledge generation in visual analytics : integrating human and machine intelligence for exploration of big data

6.

Knowledge generation in visual analytics : integrating human and machine intelligence for exploration of big data

by

Sacha, Dominik, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10869729

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exploration of big data / Sacha, Dominik, author.

Utilization of Cluster Analysis and Machine Learning to Clarify Mutational Linkages between Osteoporosis and Cardiovascular Disease in Human Population için kapak resmi

Utilization of Cluster Analysis and Machine Learning to Clarify Mutational Linkages between Osteoporosis and Cardiovascular Disease in Human Population

7.

Utilization of Cluster Analysis and Machine Learning to Clarify Mutational Linkages between Osteoporosis and Cardiovascular Disease in Human Population

by

Sawada, Kae, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10811231

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In this paper, Big Data Processing was utilized to develop a Predictive Analytics Model with the

Regional and Residential Short Term Electric Demand Forecast Using Deep Learning için kapak resmi

Regional and Residential Short Term Electric Demand Forecast Using Deep Learning

8.

Regional and Residential Short Term Electric Demand Forecast Using Deep Learning

by

Hossen, Tareq, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10813921

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traditional methods in many disciplines, and they have revolutionized data analytics. Aspired from such a

Fog Computing Based IoT Applications and Their Performance için kapak resmi

Fog Computing Based IoT Applications and Their Performance

9.

Fog Computing Based IoT Applications and Their Performance

by

Gundala palle, Santosh reddy, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10826020

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applications (Self Driving, Health Monitoring, Gamming, Real-Time Big Data Analytics, Live Streaming and

Machine Learning-inspired High-performance and Energy-efficient Heterogeneous Manycore Chip Design için kapak resmi

Machine Learning-inspired High-performance and Energy-efficient Heterogeneous Manycore Chip Design

10.

Machine Learning-inspired High-performance and Energy-efficient Heterogeneous Manycore Chip Design

by

Choi, Wonje, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10746308

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for many emerging application domains including artificial intelligence, bio-computing and big data

A Distributed Computing Framework to Manage, Query, and Analyze Big Geospatial Data for Urban Studies - Case Studies with Urban Heat Island and Tourist Movement Pattern Mining için kapak resmi

A Distributed Computing Framework to Manage, Query, and Analyze Big Geospatial Data for Urban Studies - Case Studies with Urban Heat Island and Tourist Movement Pattern Mining

11.

A Distributed Computing Framework to Manage, Query, and Analyze Big Geospatial Data for Urban Studies - Case Studies with Urban Heat Island and Tourist Movement Pattern Mining

by

Hu, Fei, author. (orcid)0000-0001-5231-2303

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10814776

Format:

Alıntı:

analytics considering the special features of geospatial data content. The framework aims to fill the gap

Resource Management for Advanced Data Analytics at Large Scale için kapak resmi

Resource Management for Advanced Data Analytics at Large Scale

12.

Resource Management for Advanced Data Analytics at Large Scale

by

Zhang, Haoyu, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10823767

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improves I/O efficiency. The all-to-all data transfer (i.e., shuffle) in modern big-data systems (such as

Hardware and Software Accelerators for Big Data Machine Learning Workloads için kapak resmi

Hardware and Software Accelerators for Big Data Machine Learning Workloads

13.

Hardware and Software Accelerators for Big Data Machine Learning Workloads

by

Nitin, Nitin, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10272218

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We are in the computing era of super-zetta data bytes (a.k.a. Big Data). Big Data is critical to

Data Mining Application to Power Grid PMU Data için kapak resmi

Data Mining Application to Power Grid PMU Data

14.

Data Mining Application to Power Grid PMU Data

by

Yin, Tianzhixi, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10792646

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data analytics is a good example of such a big data problem. There has been an increase of data mining

Connected Transportation Systems: Next Generation Traffic Simulation and Data Collection Tools and Techniques = Bağlı Ulaştırma Sistemleri: Yeni Jenerasyon Trafik Simülasyon ve Veri Toplama Araçları ve Teknikleri için kapak resmi

Connected Transportation Systems: Next Generation Traffic Simulation and Data Collection Tools and Techniques = Bağlı Ulaştırma Sistemleri: Yeni Jenerasyon Trafik Simülasyon ve Veri Toplama Araçları ve Teknikleri

15.

Connected Transportation Systems: Next Generation Traffic Simulation and Data Collection Tools and Techniques = Bağlı Ulaştırma Sistemleri: Yeni Jenerasyon Trafik Simülasyon ve Veri Toplama Araçları ve Teknikleri

by

Kurkcu, Abdullah, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10808279

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Alıntı:

. While some challenges of data analytics are addressed by big data approaches, structure, and analytics

System, Architectural and Application Level Analysis of Big Data Applications for Performance and Energy-efficiency için kapak resmi

System, Architectural and Application Level Analysis of Big Data Applications for Performance and Energy-efficiency

16.

System, Architectural and Application Level Analysis of Big Data Applications for Performance and Energy-efficiency

by

Malik, Maria, author. (orcid)0000-0001-8425-2501

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10785775

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computational requirements of big data and analytics technologies. Thus, more applications need to share CPU at

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