Dynamic web log session identification with statistical language models
Journal of the American Society for Information Science and Technology - Special issue: Webometrics
Mining interesting knowledge from weblogs: a survey
Data & Knowledge Engineering
Identifying Interesting Customers through Web Log Classification
IEEE Intelligent Systems
User behavior modeling and content based speculative web page prefetching
Data & Knowledge Engineering - Special issue: ER 2003
Ranking web sites with real user traffic
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Clustering techniques utilized in web usage mining
AIKED'06 Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
A clustering-based prefetching scheme on a Web cache environment
Computers and Electrical Engineering
Characterizing network traffic by means of the NetMine framework
Computer Networks: The International Journal of Computer and Telecommunications Networking
What's in a session: tracking individual behavior on the web
Proceedings of the 20th ACM conference on Hypertext and hypermedia
Sequential pattern-based cache replacement in servlet container
ICWE'07 Proceedings of the 7th international conference on Web engineering
Adaptive website design using caching algorithms
WebKDD'06 Proceedings of the 8th Knowledge discovery on the web international conference on Advances in web mining and web usage analysis
Towards the web of concepts: extracting concepts from large datasets
Proceedings of the VLDB Endowment
Using similarity measure to enhance the robustness of web access prediction model
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Performance improvement of web caching in Web 2.0 via knowledge discovery
Journal of Systems and Software
A prediction framework based on contextual data to support Mobile Personalized Marketing
Decision Support Systems
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Caching is a well-known strategy for improving the performance of Web-based systems. The heart of a caching system is its page replacement policy, which selects the pages to be replaced in a cache when a request arrives. In this paper, we present a Web-log mining method for caching Web objects and use this algorithm to enhance the performance of Web caching systems. In our approach, we develop an n-gram-based prediction algorithm that can predict future Web requests. The prediction model is then used to extend the well-known GDSF caching policy. We empirically show that the system performance is improved using the predictive-caching approach.