000 02315nam a22002777a 4500
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020 _a9780124166028
040 _aCvSU-CCAT Campus Library.
_bEnglish
_cCvSU-CCAT Campus Library.
_erda.
050 _aCIR HD 30.25
_bN48 2014
100 _aNettleton, David, author.
_92765
245 _aCommercial data mining :
_bprocessing, analysis and modeling for predictive analytics projects /
_cby David Nettleton 1963-.
260 _aAmsterdam :
_bElsevier,
_cc2014.
300 _axi, 288 pages ;
_c23 cm
504 _aIncludes bibliographical references and index.
505 _a 1. Introduction 2. Business objectives 3. Incorporating various sources of data and information 4. Data representation 5. Data quality 6. Selection of variables and factor derivation 7. Data sampling and partitioning 8. Data Analysis 9. Data modeling 10. Deployment systems : from query reporting to EIS and expert systems 11. Text analysis 12. Data mining from relationally structured data, marts and warehouses 13. CRM -- Customer Relationship Management and analysis 14. Analysis of data on the Internet I -- website analysis and internet search (online chapter) 15. Analysis of data on the Internet II -- search experience analysis (online chapter) 16. Analysis of data on the Internet III -- online social network analysis (online chapter) 17. Analysis of data on the Internet IV -- search trend analysis over time (online chapter) 18. Data privacy and privacy-preserving data publishing 19. Creating an environment for commercial data analysis 20. Summary. Appendix : Case Studies.
520 _aHelps you learn that your organization does not need a huge volume of data or a Fortune 500 budget to generate business using existing information assets. This book guides you through the process from beginning to end and covers everything from business objectives to data sources, and selection to analysis and predictive modeling.
546 _aIn English text.
650 _aManagement.
_9130
650 _aData Mining.
_92766
650 _aManagement
_vData processing.
_92767
650 _aManagement
_vMathematical models.
_92768
942 _cBK
_hHD 30.25 N48 2014
_kCIR
_2lcc
999 _c947
_d947