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Applications of Data Mining to Electronic Commerce

  • Book
  • © 2001

Overview

Editors:
  1. Ron Kohavi

    1. Blue Martini Software, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Foster Provost

    1. Stern School of Business, New York University, USA

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    You can also search for this editor in PubMed   Google Scholar

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Table of contents (6 chapters)

  1. Front Matter

    Pages 1-4
    Download chapter PDF

  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
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Keywords

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.

Editors and Affiliations

  • Blue Martini Software, USA

    Ron Kohavi

  • Stern School of Business, New York University, USA

    Foster Provost

Bibliographic Information

  • Book Title: Applications of Data Mining to Electronic Commerce

  • Editors: Ron Kohavi, Foster Provost

  • DOI: https://doi.org/10.1007/978-1-4615-1627-9

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 2001

  • Hardcover ISBN: 978-0-7923-7303-2Published: 28 February 2001

  • Softcover ISBN: 978-1-4613-5648-6Published: 24 October 2012

  • eBook ISBN: 978-1-4615-1627-9Published: 06 December 2012

  • Edition Number: 1

  • Number of Pages: 153

  • Additional Information: Reprinted from DATA MINING AND KNOWLEDGE DISCOVERY, 5:1-2

  • Topics: Data Structures and Information Theory, e-Commerce/e-business, The Computing Profession

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