Applications of Data Mining to Electronic CommercePaperback
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- Publisher: Springer-Verlag New York Inc.
- Format: Paperback | 153 pages
- Dimensions: 160mm x 240mm x 9mm | 259g
- Publication date: 24 October 2012
- Publication City/Country: New York, NY
- ISBN 10: 1461356482
- ISBN 13: 9781461356486
- Edition statement: Softcover reprint of the original 1st ed. 2001
- Illustrations note: biography
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.
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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.