Applications of Data Mining to Electronic Commerce
Author:   Ronny Kohavi ,  Foster Provost
Publisher:   Springer
Edition:   2nd ed.
ISBN:  

9780792373032


Pages:   153
Publication Date:   28 February 2001
Format:   Hardback
Availability:   In Print   Availability explained
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Applications of Data Mining to Electronic Commerce


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Overview

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.

Full Product Details

Author:   Ronny Kohavi ,  Foster Provost
Publisher:   Springer
Imprint:   Springer
Edition:   2nd ed.
Dimensions:   Width: 15.50cm , Height: 1.10cm , Length: 23.50cm
Weight:   0.880kg
ISBN:  

9780792373032


ISBN 10:   0792373030
Pages:   153
Publication Date:   28 February 2001
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Applications of Data Mining to Electronic Commerce.- Personalization of Supermarket Product Recommendations.- Expert-Driven Validation of Rule-Based User Models in Personalization Applications.- Visualization and Analysis of Clickstream Data of Online Stores for Understanding Web Merchandising.- Data Mining for Measuring and Improving the Success of Web Sites.- E-commerce Recommendation Applications.

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