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Commercial data mining : processing, analysis and modeling for predictive analytics projects

Author: David Nettleton
Publisher: Amsterdam : Elsevier, [2014]
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

Helps 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  Read more...

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Document Type: Book
All Authors / Contributors: David Nettleton
ISBN: 9780124166028 0124166024 012416658X 9780124166585
OCLC Number: 861211372
Description: xi, 288 pages ; 23 cm
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.
Responsibility: David Nettleton.

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"...a mandatory volume for anyone who runs data mining projects, since all the steps and most important details that should not be forgotten are described here...I strongly recommend this book for Read more...

 
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