Applications of Data Mining to Electronic Commerce

Editors: Kohavi, Ronny, Provost, Foster (Eds.)

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eBook $109.00
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  • ISBN 978-1-4615-1627-9
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Hardcover $169.00
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  • ISBN 978-0-7923-7303-2
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Softcover $139.00
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  • ISBN 978-1-4613-5648-6
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About this book

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.

Table of contents (6 chapters)

  • Applications of Data Mining to Electronic Commerce

    Kohavi, Ron (et al.)

    Pages 5-10

  • Personalization of Supermarket Product Recommendations

    Lawrence, Richard D. (et al.)

    Pages 11-32

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

    Adomavicius, Gediminas (et al.)

    Pages 33-58

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

    Lee, Juhnyoung (et al.)

    Pages 59-84

  • Data Mining for Measuring and Improving the Success of Web Sites

    Spiliopoulou, Myra (et al.)

    Pages 85-114

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-1-4615-1627-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.00
price for USA
  • ISBN 978-0-7923-7303-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $139.00
price for USA
  • ISBN 978-1-4613-5648-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Applications of Data Mining to Electronic Commerce
Editors
  • Ronny Kohavi
  • Foster Provost
Copyright
2001
Publisher
Springer US
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4615-1627-9
DOI
10.1007/978-1-4615-1627-9
Hardcover ISBN
978-0-7923-7303-2
Softcover ISBN
978-1-4613-5648-6
Edition Number
1
Number of Pages
153
Additional Information
Reprinted from DATA MINING AND KNOWLEDGE DISCOVERY, 5:1-2
Topics