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SpringerLink (Online service)

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

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Cerquitelli, Tania. editor.

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Choi, Wonje, author.

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Dey, Nilanjan, editor.

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

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Gundala palle, Santosh reddy, author.

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

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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

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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.

Big data analytics for intelligent healthcare management için kapak resmi

Big data analytics for intelligent healthcare management

2.

Big data analytics for intelligent healthcare management

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Dey, Nilanjan, editor.

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Big data analytics for intelligent healthcare management / Dey, Nilanjan, editor.

Strategic Engineering for Cloud Computing and Big Data Analytics için kapak resmi

Strategic Engineering for Cloud Computing and Big Data Analytics

3.

Strategic Engineering for Cloud Computing and Big Data Analytics

by

Hosseinian-Far, Amin. editor.

http://dx.doi.org/10.1007/978-3-319-52491-7

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Strategic Engineering for Cloud Computing and Big Data Analytics Hosseinian-Far, Amin. editor.

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

Analyzing Small Businesses' Adoption of Big Data Security Analytics

4.

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.

Transparent Data Mining for Big and Small Data için kapak resmi

Transparent Data Mining for Big and Small Data

5.

Transparent Data Mining for Big and Small Data

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Cerquitelli, Tania. editor.

http://dx.doi.org/10.1007/978-3-319-54024-5

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Big Data/Analytics.

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

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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

Fog Computing Based IoT Applications and Their Performance için kapak resmi

Fog Computing Based IoT Applications and Their Performance

7.

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

8.

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

9.

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

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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

10.

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

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

11.

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

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