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050 0 0 _aQA276.4
_b.F76 2013
245 0 0 _aFrontiers in massive data analysis /
_cCommittee 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.
264 1 _aWashington, D.C. :
_bThe National Academies Press,
_c[2013]
264 4 _c©2013
300 _axiii, 176 pages ;
_c23 cm.
336 _atext
_2rdacontent
337 _acomputer
_2rdamedia
338 _aonline resource
_2rdacarrier
500 _aData 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 analyzing massive amounts of data, whether in a static database or streaming through a system.
504 _aIncludes bibliographical references.
520 _aIntroduction -- 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.
650 0 _aMathematical statistics
_xData processing.
650 0 _aSocial sciences
_xStatistical methods.
710 2 _aNational Research Council (U.S.).
_bBoard on Mathematical Sciences and Their Applications.
710 2 _aNational Research Council (U.S.).
_bCommittee on Applied and Theoretical Statistics.
710 2 _aNational Research Council (U.S.).
_bCommittee on the Analysis of Massive Data.
710 2 _aNational Research Council (U.S.).
_bDivision on Engineering and Physical Sciences.
856 _uhttps://drive.google.com/file/d/1aDwtdZkpaAqJazVXElrDcscOUDwijhTx/view?usp=sharing
999 _c5308
_d5308