Visualizing the structure of the World Wide Web in 3D hyperbolic space
VRML '95 Proceedings of the first symposium on Virtual reality modeling language
Visualizing the evolution of Web ecologies
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Towards an effective cooperation of the user and the computer for classification
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Improving Web Usability Through Visualization
IEEE Internet Computing
Visualizing the crowds at a web site
CHI '99 Extended Abstracts on Human Factors in Computing Systems
WebFrame: In Pursuit of Computationally and Cognitively Efficient Web Mining
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
WebKIV: Visualizing Structure and Navigation forWeb Mining Applications
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
Help through Visualization to Compare Learners' Activities to Recommended Learning Scenarios
ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
Execution patterns for visualizing web services
SoftVis '06 Proceedings of the 2006 ACM symposium on Software visualization
Visualization of Heterogeneous Data
IEEE Transactions on Visualization and Computer Graphics
Fine-Grained Analysis of Web Tasks through Data Visualization
ICWE '9 Proceedings of the 9th International Conference on Web Engineering
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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Web site structures are complex to analyze. Cross-referencing the web structure with navigational behaviour adds to the complexity of the analysis. However, this convoluted analysis is necessary to discover useful patterns and understand the navigational behaviour of web site visitors, whether to improve web site structures, provide intelligent on-line tools or offer support to human decision makers. Moreover, interactive investigation of web access logs is often desired since it allows ad hoc discovery and examination of patterns not a priori known. Various visualization tools have been provided for this task but they often lack the functionality to conveniently generate new patterns. In this paper we propose a visualization tool to visualize web graphs, representations of web structure overlaid with information and pattern tiers. We also propose a web graph algebra to manipulate and combine web graphs and their layers in order to discover new patterns in an ad hoc manner.