000			01565cam a22002655a 4500
001			17960980
005			20161117143954.0
008			131203t2014 maua frb 001 0 eng d
020			_a9780124166028 (paperback)
040			_aDLC _beng _cDLC _dEG-ScBUE _dEG-ScBUE
082	0	4	_a006.312 _bNET _222
100	1		_aNettleton, David, _d1963- _938626
245	1	0	_aCommercial data mining : _bprocessing, analysis and modeling for predictive analytics projects / _cDavid Nettleton.
260			_aWaltham : _bMorgan kaufmann / Elsevier, _cc.2014.
300			_axi, 288 p. ; _cill. ; _b23 cm.
490	0		_aThe Savvy manager's guides
500			_aIndex : p. 281-288.
504			_aBibliography : p. 279-280.
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		7	_aData mining. _2BUEsh _927695
650		7	_aManagement _xMathematical models. _2BUEsh _933657
650		7	_aManagement _xData processing. _2BUEsh _94282
653			_bCOMSCI _cJune2015 _cNovember2015
942			_2ddc _k006.312 NET
999			_c19704 _d19676