03853cam a2200649Ki 4500 ocn898154112 OCoLC 20171025133207.0 m o d cr ||||||||||| 141113s2015 inu ob 001 0 eng d 016976429 Uk 016973753 Uk 9781118876053 (electronic bk.) 1118876059 (electronic bk.) 1118876229 (electronic bk.) 9781118876220 (electronic bk.) 9781119183686 1119183685 9781118876138 111887613X 10.1002/9781119183686 doi DEBBG BV043398002 DEBSZ 453328237 GBVCP 836426363 NZ1 16178707 ZWZ 190980575 (OCoLC)898154112 (OCoLC)903971073 (OCoLC)919280538 (OCoLC)926044951 (OCoLC)961623598 (OCoLC)962624934 B72C14C8-9461-49F0-AA52-EC8A9FE6E2A7 OverDrive, Inc. http://www.overdrive.com UKMGB eng pn UKMGB OCLCO N$T CDX YDXCP OCLCF RECBK IDEBK E7B TEFOD STF TEFOD B24X7 DEBSZ EBLCP COO RRP VT2 OCLCQ DG1 UMI Z5A CDC DEBBG OCLCQ JG0 K6U MAIN QA76.9.D343 COM 000000 bisacsh COM 021030 bisacsh 006.312 23 Data science and big data analytics : discovering, analyzing, visualizing and presenting data / edited by EMC Education Services. [electronic resource] Indianpolis, IN : John Wiley & Sons, 2015. 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. 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 is a book about harnessing the power of data for new insights and covers the breadth of activities and methods and tools that data scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. It will help you become a contributor on a data science team; deploy a structured lifecycle approach to data analytics problems; apply appropriate analytic techniques and tools to analyzing big data; learn how to tell a compelling story with data to drive business action; prepare for EMC Proven Professional data science certification. -- Edited summary from book. CIP data; item not viewed. Data mining. Big data. COMPUTERS General. bisacsh COMPUTERS Database Management Data Mining. bisacsh Big data. fast (OCoLC)fst01892965 Data mining. fast (OCoLC)fst00887946 Electronic books. EMC Education Services. Print version: 9781118876138 http://onlinelibrary.wiley.com/book/10.1002/9781119183686 Wiley Online Library ddc BK 207800 207800