Applications of Data Mining to Electronic Commerce

  • Ron Kohavi
  • Foster Provost

Table of contents

  1. Front Matter
    Pages 1-4
  2. Ron Kohavi, Foster Provost
    Pages 5-10
  3. Richard D. Lawrence, George S. Almasi, Vladimir Kotlyar, Marisa Viveros, Sastry S. Duri
    Pages 11-32
  4. Gediminas Adomavicius, Alexander Tuzhilin
    Pages 33-58
  5. Juhnyoung Lee, Mark Podlaseck, Edith Schonberg, Robert Hoch
    Pages 59-84
  6. Myra Spiliopoulou, Carsten Pohle
    Pages 85-114
  7. J. Ben Schafer, Joseph A. Konstan, John Riedl
    Pages 115-153

About this book

Introduction

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.

Keywords

Electronic Commerce Web data mining e-commerce

Editors and affiliations

  • Ron Kohavi
    • 1
  • Foster Provost
    • 2
  1. 1.Blue Martini SoftwareUSA
  2. 2.Stern School of BusinessNew York UniversityUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-1627-9
  • Copyright Information Kluwer Academic Publishers 2001
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-5648-6
  • Online ISBN 978-1-4615-1627-9
  • About this book