02549cam a22003735a 4500 18238704 20161018124729.0 140723t2015 inua frb 001 0 eng d 2014946681 9781118876138 (OCoLC)ocn903483226 CDX eng CDX rda MNY MEAUC YDXCP BDX BTCTA JRZ CCX OCLCF OCLCO XBM OCLCQ AHS IBI CHVBK DLC EG-ScBUE 006.312 DAT 22 Data science & big data analytics : discovering, analyzing, visualizing and presenting data / EMC Education Services ; key contributors David Dietrich, Barry Heller, Beibei Yang. Data science and big data analytics Indianpolis : John Wiley & Sons, c.2015. xviii, 410 p. : ill. (some col.) ; 25 cm. EMC ; 2 Index : p. 398-410. Includes bibliographical references. 1. Introduction to big data analytics -- 2. Data analytics lifecycle -- 3. Review of basic data analytic methods using R -- 4. Advanced analytical theory and methods: clustering -- 5. Advanced analytical theory and methods: association rules -- 6. Advanced analytical theory and methods: regression -- 7. Advanced analytical theory and methods: classification -- 8. Advanced analytical theory and methods: time series analysis -- 9. Advanced analytical theory and methods: text analysis -- 10. Advanced analytics, technology and tools: MapReduce and Hadoop -- 11. Advanced analytics, technology and tools: in-database analytics -- 12. The endgame, or putting it all together. This book is about harnessing the power of data for new insights. The book covers the breadth of activities, methods, and tools that data scientists use. The content focuses on concepts, principles and practical applications that are relevant to any industry and technology environment.-- Data mining. BUEsh 27695 Big data. BUEsh 36502 BUEsh COMSCI October2016 12353 Quantitative research BUEsh EMC Education Services. Contributor biographical information https://www.loc.gov/catdir/enhancements/fy1617/2014946681-b.html Publisher description https://www.loc.gov/catdir/enhancements/fy1617/2014946681-d.html Table of contents only https://www.loc.gov/catdir/enhancements/fy1617/2014946681-t.html ddc 22649 22621 0 0 ddc 0 0 Academic MAIN MAIN LOW 2016-10-17 Purchase 504.00 9128 2 4 006.312 DAT 000034149 2025-07-15 00:00:00 2024-02-27 630.00 BB