Using Web server logs to improve site design
Proceedings of the 16th annual international conference on Computer documentation
Data mining of web access logs from an academic web site
Design and application of hybrid intelligent systems
Identifying Interesting Customers through Web Log Classification
IEEE Intelligent Systems
Active User-Based and Ontology-Based Web Log Data Preprocessing for Web Usage Mining
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Extracting Users' Interests from Web Log Data
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Access patterns for robots and humans in web archives
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
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Data preprocessing is an important activity for discovering behavioral patterns. The analysis of web logs is an essential task for System Administrators to safeguard adequate bandwidth and to maintain server capacity on their business websites. A web Log file represents user activities occurring over a period of time. Web log files offer valuable insight into the effective usage of the web site. It helps maintain an account of the actual usage in a regular working system as compared to the virtual setting of a usability lab. This research paper focuses on the preprocessing techniques implemented on a specially designed Web Sift (WebIS) tool on an IIS web server and also proposes some efficient heuristics and techniques