From user access patterns to dynamic hypertext linking
Proceedings of the fifth international World Wide Web conference on Computer networks and ISDN systems
In search of reliable usage data on the WWW
Selected papers from the sixth international conference on World Wide Web
Dynamic Argument Embedding: Preserving State on the World Wide Web
IEEE Internet Computing
Analysis of navigation behaviour in web sites integrating multiple information systems
The VLDB Journal — The International Journal on Very Large Data Bases
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
Grouping Web Page References into Transactions for Mining World Wide Web Browsing Patterns
KDEX '97 Proceedings of the 1997 IEEE Knowledge and Data Engineering Exchange Workshop
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Most of the approaches to analyse the Web server logs to capture user access patterns are heuristic based and affected by the use of proxy servers, caching and stateless service model of the HTTP protocol. No heuristic has addressed all of these problems. In this paper, we propose a new heuristic to overcome this limitation. The heuristic exploits the background knowledge of user navigational behaviour recorded in the server logs without requiring additional information through cookies, logins and session ids. The heuristic is evaluated by analysing the logs of a university Web server that records user ids for administrative reasons, which allows us to compare it against the concrete knowledge of user sessions. We also evaluate our heuristic against some of the existing heuristics. The evaluation has shown very satisfactory result.