Mining interesting knowledge from weblogs: a survey
Data & Knowledge Engineering
Performance evaluation of user modeling servers under real-world workload condition
UM'03 Proceedings of the 9th international conference on User modeling
Web user behavioral profiling for user identification
Decision Support Systems
A pattern restore method for restoring missing patterns in server side clickstream data
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
Revealed processes in knowledge management
WM'05 Proceedings of the Third Biennial conference on Professional Knowledge Management
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"Garbage in.garbage out" is a well-known phrase in computer analysis, and one that comes to mind when mining Web data to draw conclusions about Web users. The challenge is that data analysts wish to infer patterns of client-side behavior from server-side data. However, because only a fraction of the user's actions ever reach the Web server, analysts must rely on incomplete data. In this paper, we propose a client-side monitoring system that is unobtrusive and supports flexible data collection. Moreover, the proposed framework encompasses client-side applications beyond the Web browser. Expanding monitoring beyond the browser to incorporate standard office productivity tools enables analysts to derive a much richer and more accurate picture of user behavior on the Web.