Quantitative system performance: computer system analysis using queueing network models
Quantitative system performance: computer system analysis using queueing network models
Web caching and replication
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Categorizing Visitors Dynamically by Fast and Robust Clustering of Access Logs
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
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
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
Connectionist Approach for Website Visitors Behaviors Mining
AICCSA '01 Proceedings of the ACS/IEEE International Conference on Computer Systems and Applications
Bottlenecks Identification in Multiclass Queueing Networks Using Convex Polytopes
MASCOTS '04 Proceedings of the The IEEE Computer Society's 12th Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems
Integrating recommendation models for improved web page prediction accuracy
ACSC '08 Proceedings of the thirty-first Australasian conference on Computer science - Volume 74
An integrated model for next page access prediction
International Journal of Knowledge and Web Intelligence
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The growing interest in Web applications that satisfy end-to-end Quality of Service (QoS) requirements is leading many organizations to build and analyze performance behavior models. In this direction, Web usage mining techniques may help in the automatic construction of user profiles from Web access logs. However, their use has been mainly limited to customer relationship management (CRM) issues and to market analyses. The aim of this paper is to explain how Web usage mining can be combined with queueing networks for effective Web capacity planning. After introducing a new general relative cosine similarity measure, we define a performance-oriented similarity for Web usage data. A methodology to devise the input parameters of a queueing network from the resulting clusters is also presented. Finally, the proposed approach is illustrated on a simple case study.