Cone Trees: animated 3D visualizations of hierarchical information
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Seesoft-A Tool for Visualizing Line Oriented Software Statistics
IEEE Transactions on Software Engineering - Special issue on software measurement principles, techniques, and environments
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
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
H-BLOB: a hierarchical visual clustering method using implicit surfaces
Proceedings of the conference on Visualization '00
Principles of Digital Image Synthesis
Principles of Digital Image Synthesis
Exploring Large Graphs in 3D Hyperbolic Space
IEEE Computer Graphics and Applications
IVORY - An Object-Oriented Framework for Physics-Based Information Visualization in Java
INFOVIS '98 Proceedings of the 1998 IEEE Symposium on Information Visualization
Similarity Clustering of Dimensions for an Enhanced Visualization of Multidimensional Data
INFOVIS '98 Proceedings of the 1998 IEEE Symposium on Information Visualization
Case study: Narcissus: visualising information
INFOVIS '95 Proceedings of the 1995 IEEE Symposium on Information Visualization
Visualizing Informationon a Sphere
INFOVIS '97 Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis '97)
A Java-Based Visual Mining Infrastructure and Applications
INFOVIS '99 Proceedings of the 1999 IEEE Symposium on Information Visualization
A Scalable Framework for Information Visualization
INFOVIS '00 Proceedings of the IEEE Symposium on Information Vizualization 2000
Visualization of large web access data sets
VISSYM '02 Proceedings of the symposium on Data Visualisation 2002
Visual Analytics: A 2D-3D visualization support for human-centered rule mining
Computers and Graphics
Interactive visual exploration of association rules with rule-focusing methodology
Knowledge and Information Systems
Caracterizando desafios de interação com sistemas de mineração de regras de associação
IHC '06 Proceedings of VII Brazilian symposium on Human factors in computing systems
Visualizing association rules in a framework for visual data mining
From Integrated Publication and Information Systems to Virtual Information and Knowledge Environments
Exploratory mining over organisational communications data
AusDM '08 Proceedings of the 7th Australasian Data Mining Conference - Volume 87
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Many real-world e-commerce applications require the mining of large volumes of transaction data to extract marketing and sales information. This paper describes the Directed Association Visualization (DAV) system that visually associates product affinities and relationships for large volumes of e-commerce transaction data. DAV maps transaction data items and their relationships to vertices, edges, and positions on a visual spherical surface. DAV encompasses several innovative techniques (1) items are positioned according to their associations to show the strength of their relationships; (2) edges with arrows are used to represent the implication directions; (3) a mass-spring engine is integrated into a visual data mining platform to provide a self-organized graph. We have applied this system successfully to market basket analysis and e-customer profiling Internet applications.