Modular techniques in information visualization
APVis '01 Proceedings of the 2001 Asia-Pacific symposium on Information visualisation - Volume 9
SPADE: An Efficient Algorithm for Mining Frequent Sequences
Machine Learning
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IEEE Transactions on Visualization and Computer Graphics
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GD '02 Revised Papers from the 10th International Symposium on Graph Drawing
Perfect hashing schemes for mining traversal patterns
Fundamenta Informaticae
BEATCA: map-based intelligent navigation in WWW
AIMSA'06 Proceedings of the 12th international conference on Artificial Intelligence: methodology, Systems, and Applications
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CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
Feature-based projections for effective playtrace analysis
Proceedings of the 6th International Conference on Foundations of Digital Games
Perfect Hashing Schemes for Mining Traversal Patterns
Fundamenta Informaticae
Visualisation and analysis of large and complex scale-free networks
EUROVIS'05 Proceedings of the Seventh Joint Eurographics / IEEE VGTC conference on Visualization
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Analysis of web site usage data involves two significant challenges: firstly the volume of data, arising from the growth of the web, and secondly, the structural complexity of web sites. In this paper we apply Data Mining and Information Visualization techniques to the web domain in order to benefit from the power of both human visual perception and computing we term this Visual Web Mining. In response to the two challenges, we propose a generic framework, where we apply Data Mining techniques to large web data sets and use Information Visualization methods on the results. The goal is to correlate the outcomes of mining Web Usage Logs and the extracted Web Structure by visually superimposing the results. We design several new information visualization diagrams.