After the advent of data mining and its successful application on conventional data, Web-related information has been an appropriate and increasingly popular target of knowledge discovery. Depending on whether the data used in the knowledge discovery process concerns the Web itself in terms of content or the usage of the content, one distinguishes between Web content mining and Web usage mining.
This book is the first one entirely devoted to Web usage mining. It originates from the WEBKDD'99 Workshop held during the 1999 KDD Conference. The ten revised full papers presented together with an introductory survey by the volume editors documents the state of the art in this exciting new area. The book presents topical sections on Modeling the User, Discovering Rules and Patterns of Navigation, and Measuring interestingness in Web Usage Mining.
Author(s): Dan Murray, Kevan Durrell (auth.), Brij Masand, Myra Spiliopoulou (eds.)
Series: Lecture Notes in Computer Science 1836 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2000
Language: English
Pages: 182
Tags: Information Systems Applications (incl.Internet); User Interfaces and Human Computer Interaction; Artificial Intelligence (incl. Robotics); Computers and Society
Inferring Demographic Attributes of Anonymous Internet Users....Pages 7-20
A Generalization-Based Approach to Clustering of Web Usage Sessions....Pages 21-38
Constructing Web User Profiles: A Non-invasive Learning Approach....Pages 39-55
Data Mining the Internet and Privacy....Pages 56-73
User-Driven Navigation Pattern Discovery from Internet Data....Pages 74-91
Data Mining of User Navigation Patterns....Pages 92-112
Making Web Servers Pushier....Pages 112-125
Analysis and Visualization of Metrics for Online Merchandising....Pages 126-141
Improving the Effectiveness of a Web Site with Web Usage Mining....Pages 142-162
Discovery of Interesting Usage Patterns from Web Data....Pages 163-182
