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Applications of Data Mining to Electronic Commerce

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Home » Books » Computers » Computer Science » General

Applications of Data Mining to Electronic Commerce

By Ronny Kohavi (Edited by), Foster Provost (Edited by)

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Format: Hardcover, 153 pages, 2nd Edition
Other Information: Illustrated
Published In: United States, 01 February 2001
Applications of Data Mining to Electronic Commerce brings together in one place important contributions and up-to-date research results in this fast moving area. Applications of Data Mining to Electronic Commerce serves as an excellent reference, providing insight into some of the most challenging research issues in the field.

Table of Contents

Applications of Data Mining to Electronic Commerce; R. Kohavi, F. Provost. Personalization of Supermarket Product Recommendations; R.D. Lawrence, et al. Expert-Driven Validation of Rule-Based User Models in Personalization Applications; G. Adomavicius, A. Tuzhilin. Visualization and Analysis of Clickstream Data of Online Stores for Understanding Web Merchandising; J. Lee, et al. Data Mining for Measuring and Improving the Success of Web Sites; M. Spiliopoulou, C. Pohle. E-Commerce Recommendation Applications; J.B. Schafer, et al.

Promotional Information

Springer Book Archives

EAN: 9780792373032
ISBN: 0792373030
Publisher: Springer
Dimensions: 24.28 x 16.15 x 1.42 centimetres (0.35 kg)
Age Range: 15+ years
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