Applications of Data Mining to Electronic Commerce / Edition 1

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Overview

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

  • ISBN-13: 9780792373032
  • Publisher: Springer US
  • Publication date: 2/28/2001
  • Edition description: 2001
  • Edition number: 1
  • Pages: 156
  • Product dimensions: 9.21 (w) x 6.14 (h) x 0.44 (d)

Table of Contents

Applications of Data Mining to Electronic Commerce 5
Personalization of Supermarket Product Recommendations 11
Expert-Driven Validation of Rule-Based User Models in Personalization Applications 33
Visualization and Analysis of Clickstream Data of Online Stores for Understanding Web Merchandising 59
Data Mining for Measuring and Improving the Success of Web Sites 85
E-Commerce Recommendation Applications 115
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