Laying out and visualizing large trees using a hyperbolic space
UIST '94 Proceedings of the 7th annual ACM symposium on User interface software and technology
Proceedings of the conference on Visualization '98
Exploring Large Graphs in 3D Hyperbolic Space
IEEE Computer Graphics and Applications
Navigating large networks with hierarchies
VIS '93 Proceedings of the 4th conference on Visualization '93
Visualization of large web access data sets
VISSYM '02 Proceedings of the symposium on Data Visualisation 2002
Web transaction analysis and optimization (TAO)
WOSP '02 Proceedings of the 3rd international workshop on Software and performance
IEEE Transactions on Visualization and Computer Graphics
Visual Data Mining for Business Intelligence Applications
WAIM '00 Proceedings of the First International Conference on Web-Age Information Management
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
Pixel bar charts: a visualization technique for very large multi-attribute data sets
Information Visualization
Business process impact visualization and anomaly detection
Information Visualization
A Visual Data Mining Environment
Visual Data Mining
VisBiz: a business process visualization case study
EUROVIS'05 Proceedings of the Seventh Joint Eurographics / IEEE VGTC conference on Visualization
Visualization of directed associations in e-commerce transaction data
EGVISSYM'01 Proceedings of the 3rd Joint Eurographics - IEEE TCVG conference on Visualization
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Many real-world KDD (Knowledge Discovery & Data Mining) applications involve the navigation of large volumes of information on the web, such as, Internet resources, hot topics, and telecom phone switches. Quite often users feel lost, confused, and overwhelmed with displays that contain too much information. This paper discusses a new content-driven visual mining infrastructure called VisMine, that uses several innovative techniques: (1) hidden visual structure and relationships for uncluttering displays; (2) simultaneous visual presentations for high-dimensional knowledge discovery; and (3) a new visual interface to plug in existing graphic toolkits for expanding its use in a wide variety of visual applications. We have applied this infrastructure to three data mining visualization applications - topic hierarchy for document navigation, web-based trouble shooting, and telecom switch mining.