000			01930nam a2200301 a 4500
001			822940
007			tz
008			150803s2015 xxum a000 0 eng d
020			_a9781118876138
049			_aPIMLIB
050			_aQA76.9.D343 _bD381
245	0	0	_aData science & big data analytics : _bdiscovering, analyzing, visualizing and presenting data / _cEMC Education Services.
260			_aIndianapolis : _bWiley, _c2015. _93665
300			_a410 p. : _bill. ; _c25 cm.
449			_aNew Arrivals-Sep.2016
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. _943511
650		0	_aBig data. _948201
650		0	_aQuantitative research. _948202
690			_a0021 วิทยาศาสตร์บัณฑิต สาขาเทคโนโลยีสารสนเทศ IT (ป.ตรี) _964
710	2		_aEMC Education Services. _948203
942			_cBK
988			_c822940
998			_asiriporn
992			_amtt0815n
999			_c822940 _d822940