Search Results for Big Data/Analytics.

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97.

Advances in Big Data Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece

Angelov, Plamen. editor.

http://dx.doi.org/10.1007/978-3-319-47898-2

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(GPUs), clouds, clusters); and big data analytics applications to solve real-world problems (e

98.

Portfolio construction and analytics

Fabozzi, Frank J., author.

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. Portfolio analytics refers to all of the methods used to screen, model, track, and evaluate investments. Big

99.

Portfolio construction and analytics

Pachamanova, Dessislava A., author

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. Portfolio analytics refers to all of the methods used to screen, model, track, and evaluate investments. Big

100.

Customers inside, customers outside : designing and succeeding with enterprise customer-centricity concepts, practices, and applications

Lowenstein, Michael W., 1942-, author.

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and personalization methods, "Big Data" generation, analytics, and microsegmentation--all while

101.

Data warehousing in the age of big data

Krishnan, Krish.

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Approaches Part 3 - Extending Big Data into the Data Warehouse Chapter 10 - Integration of Big Data and Data

102.

Resource Management for Advanced Data Analytics at Large Scale

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

103.

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

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

104.

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

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

105.

Real-time Monitoring and Operational Control of Drinking-Water Systems

Puig, Vicenç. editor.

http://dx.doi.org/10.1007/978-3-319-50751-4

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-- Big Data Analytics and Knowledge Discovery.

106.

Big Data-Enabled Nursing Education, Research and Practice

Delaney, Connie W. editor.

http://dx.doi.org/10.1007/978-3-319-53300-1

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Future We Can Get Ready For -- Data Analytics and Visualization: The Future with Big Data.

107.

New Perspectives in Medical Records Meeting the Needs of Patients and Practitioners

Rinaldi, Giovanni. editor.

http://dx.doi.org/10.1007/978-3-319-28661-7

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Institutions -- An Infrastructural Approach to Clinical Information -- From Big Data to Big Insights. The Role

108.

Hardware and Software Accelerators for Big Data Machine Learning Workloads

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

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