Data mining: concepts and techniques
Data mining: concepts and techniques
WebQuilt: a framework for capturing and visualizing the web experience
Proceedings of the 10th international conference on World Wide Web
Visualization and Analysis of Clickstream Data of Online Stores for Understanding Web Merchandising
Data Mining and Knowledge Discovery
Improving Web Usability Through Visualization
IEEE Internet Computing
Graph Visualization and Navigation in Information Visualization: A Survey
IEEE Transactions on Visualization and Computer Graphics
NicheWorks - Interactive Visualization of Very Large Graphs
GD '97 Proceedings of the 5th International Symposium on Graph Drawing
Drawing Large Graphs with H3Viewer and Site Manager
GD '98 Proceedings of the 6th International Symposium on Graph Drawing
VISVIP: 3D Visualization of Paths through Web Sites
DEXA '99 Proceedings of the 10th International Workshop on Database & Expert Systems Applications
Case study: Visualising cyberspace: information visualisation in the Harmony Internet browser
INFOVIS '95 Proceedings of the 1995 IEEE Symposium on Information Visualization
A Scalable Framework for Information Visualization
INFOVIS '00 Proceedings of the IEEE Symposium on Information Vizualization 2000
Case Study: E-Commerce Clickstream Visualization
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
Parallel coordinates: a tool for visualizing multi-dimensional geometry
VIS '90 Proceedings of the 1st conference on Visualization '90
An Efficient Technique for Mining Usage Profiles Using Relational Fuzzy Subtractive Clustering
WIRI '05 Proceedings of the International Workshop on Challenges in Web Information Retrieval and Integration
Visualization of Web Usage Patterns
IDEAS '06 Proceedings of the 10th International Database Engineering and Applications Symposium
A Nonlinear Mapping for Data Structure Analysis
IEEE Transactions on Computers
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Most clickstream visualization techniques display web users' clicks by highlighting paths in a graph of the underlying web site structure. These techniques do not scale to handle high volume web usage data. Further, historical usage data is not considered. The work described in this paper differs from other work in the following aspect. Fuzzy clustering is applied to historical usage data and the result imaged in the form of a point cloud. Web navigation data from active users are shown as animated paths in this point cloud. It is clear that when many paths get attracted to one of the clusters, that particular cluster is currently “hot.” Further as sessions terminate, new sessions are incrementally incorporated into the point cloud. The complete process is closely coupled to the fuzzy clustering technique and makes effective use of clustering results. The method is demonstrated on a very large set of web log records consisting of over half a million page clicks.