Applications of Data Mining to Electronic Commerce

1. Front Matter

   Pages 1-4

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2. Applications of Data Mining to Electronic Commerce

   • Ron Kohavi, Foster Provost

   Pages 5-10

3. Personalization of Supermarket Product Recommendations

   • Richard D. Lawrence, George S. Almasi, Vladimir Kotlyar, Marisa Viveros, Sastry S. Duri

   Pages 11-32

4. Expert-Driven Validation of Rule-Based User Models in Personalization Application

   • Gediminas Adomavicius, Alexander Tuzhilin

   Pages 33-58

5. Visualization and Analysis of Clickstream Data of Online Stores for Understanding Web Merchandising

   • Juhnyoung Lee, Mark Podlaseck, Edith Schonberg, Robert Hoch

   Pages 59-84

6. Data Mining for Measuring and Improving the Success of Web Sites

   • Myra Spiliopoulou, Carsten Pohle

   Pages 85-114

7. E-Commerce Recommendation Applications

   • J. Ben Schafer, Joseph A. Konstan, John Riedl

   Pages 115-153

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.

• Electronic Commerce
• Web
• data mining
• e-commerce

• Blue Martini Software, USA

  Ron Kohavi

• Stern School of Business, New York University, USA

  Foster Provost

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