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Data Mining Techniques in CRM: Inside Customer Segmentation
Konstantinos K. Tsiptsis
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Description for Data Mining Techniques in CRM: Inside Customer Segmentation
Hardcover. This is an applied handbook for the application of data mining techniques in the CRM framework. It combines a technical and a business perspective to cover the needs of business users who are looking for a practical guide on data mining. Num Pages: 372 pages, Illustrations. BIC Classification: KJSU; UNF. Category: (P) Professional & Vocational. Dimension: 252 x 170 x 28. Weight in Grams: 832.
This is an applied handbook for the application of data mining techniques in the CRM framework. It combines a technical and a business perspective to cover the needs of business users who are looking for a practical guide on data mining. It focuses on Customer Segmentation and presents guidelines for the development of actionable segmentation schemes. By using non-technical language it guides readers through all the phases of the data mining process.
This is an applied handbook for the application of data mining techniques in the CRM framework. It combines a technical and a business perspective to cover the needs of business users who are looking for a practical guide on data mining. It focuses on Customer Segmentation and presents guidelines for the development of actionable segmentation schemes. By using non-technical language it guides readers through all the phases of the data mining process.
Product Details
Format
Hardback
Publication date
2010
Publisher
John Wiley & Sons Inc
Number of pages
372
Condition
New
Number of Pages
372
Place of Publication
New York, United States
ISBN
9780470743973
SKU
V9780470743973
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Konstantinos K. Tsiptsis
Konstantinos Tsiptsis, CRM and Customer Intelligence Manager, Eurobank, EFM, Greece Antonios Chorianopoulos, Greek Ministry of Economy and Finance, Data Analysis Unit, MIS Service, Greece.
Reviews for Data Mining Techniques in CRM: Inside Customer Segmentation
"The book is written in a language that is easily accessible to business users who are not fluent in statistical methods and who have no prior exposure to the data mining or customer segmentation domain . . . This book is poised to become a standard reference, and I unconditionally recommend it to anyone working in this field." (Computing Reviews, ... Read more