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Frontiers in massive data analysis

Author: National Research Council (U.S.). Committee on the Analysis of Massive Data.; National Research Council (U.S.). Committee on Applied and Theoretical Statistics.; National Research Council (U.S.). Board on Mathematical Sciences and Their Applications.; National Research Council (U.S.). Division on Engineering and Physical Sciences.
Publisher: Washington, D.C. : National Academies Press, [2013] ©2013
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Introduction -- Massive Data in Science, Technology, Commerce, National Defense, Telecommunications, and Other Endeavors -- Scaling the Infrastructure for Data Management -- Temporal Data and Real-Time Algorithms -- Large-Scale Data Representations -- Resources, Trade-offs, and Limitations -- Building Models from Massive Data -- Sampling and Massive Data -- Human Interaction with Data -- The Seven Computational  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
National Research Council (U.S.). Committee on the Analysis of Massive Data.
Frontiers in massive data analysis.
Washington, D.C. : The National Academies Press, [2013]
(DLC) 2013944743
(OCoLC)857812965
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: National Research Council (U.S.). Committee on the Analysis of Massive Data.; National Research Council (U.S.). Committee on Applied and Theoretical Statistics.; National Research Council (U.S.). Board on Mathematical Sciences and Their Applications.; National Research Council (U.S.). Division on Engineering and Physical Sciences.
ISBN: 9780309287791 0309287790
OCLC Number: 859626154
Notes: "... describes the cross-disciplinary skill set that data analysts need to address the challenges of exploring big data..."
Description: 1 online resource (xiii, 176 pages)
Contents: Summary --
Introduction --
Massive Data in Science, Technology, Commerce, National Defense, Telecommunications, and Other Endeavors --
Scaling the Infrastructure for Data Management --
Temporal Data and Real-Time Algorithms --
Large-Scale Data Representations --
Resources, Trade-offs, and Limitations --
Building Models from Massive Data --
Sampling and Massive Data --
Human Interaction with Data --
The Seven Computational Giants of Massive Data Analysis --
Conclusions --
Appendixes --
Appendix A: Acronyms --
Appendix B: Biographical Sketches of Committee Members.
Responsibility: Committee on the Analysis of Massive Data ; Committee on Applied and Theoretical Statistics ; Board on Mathematical Sciences and Their Applications ; Division on Engineering and Physical Sciences ; National Research Council of the National Academies.

Abstract:

Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. This title examines the frontier of  Read more...

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