000 01802cam a2200349 i 4500
001 17960980
003 OSt
005 20150401101756.0
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
_bN.D.C
_223
100 1 _aNettleton, David,
_d1963-
245 1 0 _aCommercial data mining :
_bprocessing, analysis and modeling for predictive analytics projects /
_cDavid Nettleton.
264 1 _aAmsterdam :
_bElsevier,
_c[2014]
300 _axi, 288 pages ;
_c23 cm.
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
338 _avolume
_2rdacarrier
500 _acomputer bookfair2015
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
999 _c9805
_d9805