000			02100cam a22003257i 4500
001			18238704
003			ZET-ke
005			20220309020010.0
008			140723s2015 inua b 001 0 eng d
010			_a 2014946681
020			_a9781118876138 _q(hbk.)
020			_a111887613X _q(hbk.)
040			_aDLC _beng _cDLC _dZET-ke
042			_alccopycat
050	0	0	_aQA76.9. _b.D34 2015
245	0	0	_aData science & big data analytics : _bdiscovering, analyzing, visualizing and presenting data / _cEMC Education Services ; key contributors David Dietrich, Barry Heller, Beibei Yang.
246	3		_aData science and big data analytics
300			_axviii, 410 pages : _billustrations (some color) ; _c25 cm
504			_aIncludes bibliographical references and index.
505	0		_a1. 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.
520			_aThis 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.--
650		0	_aData mining. _9201
650		0	_aBig data.
650		0	_aQuantitative research.
700	1		_aDietrich, David _c(Computer scientist), _econtributor.
700	1		_aHeller, Barry, _econtributor.
700	1		_aYang, Beibei, _econtributor.
710	2		_aEMC Education Services.
942			_2lcc _cBK _kQA76.9 _m.D34 2015 _02
999			_c4900 _d4900