000			01763cam a2200325 i 4500
999			_c67605 _d67605
001			17960980
005			20210623063315.0
008			131203s2014 ne b 001 0 eng
010			_a 2013045341
020			_a9780124166028 (paperback)
040			_aDLC _beng _cDLC _erda
042			_apcc
050	0	0	_aHD30.25 _b.N48 2014
082	0	0	_a658/.056312 _223
100	1		_aNettleton, David, _d1963-
245	1	0	_aCommercial data mining : _bprocessing, analysis and modeling for predictive analytics projects / _cDavid Nettleton.
264		1	_aWaltham, MA: _bMorgan Kaufmann _cc2014.
300			_axi, 288 pages ; _c23 cm
336			_atext _2rdacontent _btxt
337			_aunmediated _2rdamedia _bn
338			_avolume _2rdacarrier _bnc
504			_aIncludes bibliographical references and index.
505	8		_aMachine generated contents note: 1. Introduction 2. Business Objectives 3. Data Quality 4. Data Representation 5. Possible Sources of Data and Information 6. Selection of Variables and Factors 7. Data Sampling 8. Data Analysis 9. Modeling 10. The Data Mart - Structured Data Warehouse 11. Querying, Report Generation and Executive Information Systems 12. Analytical CRM - Customer Relationship Analysis 13. Website Analysis and Internet Search 14. Online Social Network Analysis 15. Web Search Trend Analysis 16. Creating your own Environment for Commercial Data Analysis 17. Summary Appendices, Case Studies .
650		0	_aData mining.
650		0	_aManagement _xMathematical models.
650		0	_aManagement _xData processing.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK