Commercial data mining : processing, analysis and modeling for predictive analytics projects / by David Nettleton 1963-.

By:

Nettleton, David, author

Material type:

TextPublication details: Amsterdam : Elsevier, c2014.Description: xi, 288 pages ; 23 cmISBN:

9780124166028

Subject(s):

LOC classification:

CIR HD 30.25 N48 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.

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 from beginning to end and covers everything from business objectives to data sources, and selection to analysis and predictive modeling.

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Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Book	Cavite State University - CCAT Campus		Book	GCS	CIR HD 30.25 N48 2014 (Browse shelf(Opens below))				1	Available			R0011116

Includes bibliographical references and index.

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 from beginning to end and covers everything from business objectives to data sources, and selection to analysis and predictive modeling.

In English text.

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