A Framework for Efficient and Anonymous Web Usage Mining Based on Client-Side Tracking

Web Usage Mining (WUM), a natural application of data mining techniques to the data collected from user interactions with the web, has greatly concerned both academia and industry in recent years. Through WUM, we are able to gain a better understanding of both the web and web user access patterns; a knowledge that is crucial for realization of full economic potential of the web. In this chapter, we describe a framework for WUM that particularly satisfies the challenging requirements of the web personalization applications. For on-line and anonymous web personalization to be effective, WUM must be accomplished in real-time as accurately as possible. On the other hand, the analysis tier of the WUM system should allow compromise between scalability and accuracy to be applicable to real-life web-sites with numerous visitors. Within our WUM framework, we introduce a distributed user tracking approach for accurate, efficient, and scalable collection of the usage data. We also propose a new m...

• Type: Conference
• Year: 2001
• Where: KDD
• Authors: Cyrus Shahabi, Farnoush Banaei Kashani
• Keywords: Anonymous Web Personalization, Data Mining, Efficient Web Personalization, KDD 2001, WUM Framework