000			nam a22 7a 4500
999			_c13009 _d13009
003			mmsu18-0442
005			20190610093118.0
008			140723s2015 inua b 001 0 eng d
020			_a9781118876138 _q(hbk.)
035			_a(OCoLC)ocn903483226
040			_aCDX _beng _cCDX _erda _dMNY _dMEAUC _dYDXCP _dBDX _dBTCTA _dJRZ _dCCX _dOCLCF _dOCLCO _dXBM _dOCLCQ _dAHS _dIBI _dCHVBK _dDLC _dMMSU-ULS
050	0	0	_aQA76.9.D343 _bD38 2015
245	0	0	_aData science & big data analytics : _bdiscovering, analyzing, visualizing and presenting data / _cEMC Education Services.
246	3		_aData science and big data analytics
264		1	_aIndianapolis, IN : _bWiley, _cc2015.
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.-- _cFrom publisher's description.
650		0	_aData mining.
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