Web Usage Mining: How to Efficiently Manage New Transactions and New Clients

Authors:
Florent Masseglia;Pascal Poncelet;Maguelonne Teisseire
Affiliations:
-;-;-
Venue:
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Year:
2000

Citing 4
Cited 0

Mining Sequential Patterns: Generalizations and Performance Improvements

EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
WUM - A Tool for WWW Ulitization Analysis

WebDB '98 Selected papers from the International Workshop on The World Wide Web and Databases
Discovering Web Access Patterns and Trends by Applying OLAP and Data Mining Technology on Web Logs

ADL '98 Proceedings of the Advances in Digital Libraries Conference
Web Mining: Information and Pattern Discovery on the World Wide Web

ICTAI '97 Proceedings of the 9th International Conference on Tools with Artificial Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

With the growing popularity of the World Wide Web (Web), large volumes of data such as user address or URL requested are gathered automatically by Web servers and collected in access log files. Recently, many interesting works have been published in the Web Usage Mining context. Nevertheless, the large amount of input data poses a maintenance problem. In fact, maintaining global patterns is a non-trivial task after access log file update because new data may invalidate old client behavior and creates new ones.