Commercial data mining : processing, analysis and modeling for predictive analytics projects / David Nettleton.  (Text) (Text)

Nettleton, David, 1963-
Call no.: HD30.25 .N35 2014Publication: Amsterdam : Elsevier, c2014Description: xi, 288 p. : illISBN: 9780124166028; 0124166024Subject(s): Data miningManagement -- Mathematical modelsManagement -- Data processingLOC classification: HD30.25 | .N35 2014
Contents: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.
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Includes bibliographical references and index.

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.

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