Applications of Data Mining to Electronic Commerce

✍ Scribed by Ron Kohavi, Foster Provost (auth.), Ron Kohavi, Foster Provost (eds.)

Publisher: Springer US
Year: 2001
Tongue: English
Leaves: 152
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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 Commerceserves as an excellent reference, providing insight into some of the most challenging research issues in the field.

✦ Table of Contents

Front Matter....Pages 1-4
Applications of Data Mining to Electronic Commerce....Pages 5-10
Personalization of Supermarket Product Recommendations....Pages 11-32
Expert-Driven Validation of Rule-Based User Models in Personalization Application....Pages 33-58
Visualization and Analysis of Clickstream Data of Online Stores for Understanding Web Merchandising....Pages 59-84
Data Mining for Measuring and Improving the Success of Web Sites....Pages 85-114
E-Commerce Recommendation Applications....Pages 115-153

✦ Subjects

Data Structures, Cryptology and Information Theory; e-Commerce/e-business; The Computing Profession

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