Applications of Data Mining to Electronic Commerce

Applications of Data Mining to Electronic Commerce

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Description

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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Product details

  • Hardback | 153 pages
  • 154.9 x 238.8 x 15.2mm | 362.88g
  • Kluwer Academic Publishers
  • Boston, MA, United States
  • English
  • 2nd
  • biography
  • 0792373030
  • 9780792373032

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.

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