The visual display of quantitative information
The visual display of quantitative information
Worlds within worlds: metaphors for exploring n-dimensional virtual worlds
UIST '90 Proceedings of the 3rd annual ACM SIGGRAPH symposium on User interface software and technology
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The KDD process for extracting useful knowledge from volumes of data
Communications of the ACM
Visualization of multi-dimensional data with vector-fusion
Proceedings of the conference on Visualization '00
Visualizing Multivariate Functions, Data, and Distributions
IEEE Computer Graphics and Applications
VisDB: Database Exploration Using Multidimensional Visualization
IEEE Computer Graphics and Applications
Dynamic Queries for Visual Information Seeking
IEEE Software
Research report: information animation applications in the capital markets
INFOVIS '95 Proceedings of the 1995 IEEE Symposium on Information Visualization
INFOVIS '97 Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis '97)
Visualization and analysis of multi-variate data: a technique for all fields
VIS '91 Proceedings of the 2nd conference on Visualization '91
Infocrystal: a visual tool for information retrieval
VIS '93 Proceedings of the 4th conference on Visualization '93
Validating and Refining Clusters via Visual Rendering
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Cluster rendering of skewed datasets via visualization
Proceedings of the 2003 ACM symposium on Applied computing
Visualizing changes in the structure of data for exploratory feature selection
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
PaintingClass: interactive construction, visualization and exploration of decision trees
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Axes-based visualizations with radial layouts
Proceedings of the 2004 ACM symposium on Applied computing
JRV: an interactive tool for data mining visualization
ACM-SE 42 Proceedings of the 42nd annual Southeast regional conference
Detecting Flaws and Intruders with Visual Data Analysis
IEEE Computer Graphics and Applications
ClusterMap: labeling clusters in large datasets via visualization
Proceedings of the thirteenth ACM international conference on Information and knowledge management
VISTA: validating and refining clusters via visualization
Information Visualization
Hypothesis oriented cluster analysis in data mining by visualization
Proceedings of the working conference on Advanced visual interfaces
Dust & magnet: multivariate information visualization using a magnet metaphor
Information Visualization
iVIBRATE: Interactive visualization-based framework for clustering large datasets
ACM Transactions on Information Systems (TOIS)
Interactive Visual Analysis of Families of Function Graphs
IEEE Transactions on Visualization and Computer Graphics
Discussion: Interacting with parallel coordinates
Interacting with Computers
A dimensionality reduction algorithm and its application for interactive visualization
Journal of Visual Languages and Computing
Visualizing Diversity and Depth over a Set of Objects
IEEE Computer Graphics and Applications
Semi-supervised visual clustering for spherical coordinates systems
Proceedings of the 2008 ACM symposium on Applied computing
The spatial-perceptual design space: a new comprehension for data visualization
Information Visualization
A Methodology for Exploring Association Models
Visual Data Mining
Mining Patterns for Visual Interpretation in a Multiple-Views Environment
Visual Data Mining
A Prediction-Based Visual Approach for Cluster Exploration and Cluster Validation by HOV3
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
Visual RBF network design based on Star Coordinates
Advances in Engineering Software
A Visual Method for High-Dimensional Data Cluster Exploration
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Improved Visual Clustering through Unsupervised Dimensionality Reduction
RSFDGrC '09 Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Interactive visual summarization of multidimensional data
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Enhanced visual separation of clusters by M-mapping to facilitate cluster analysis
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
A clustering-oriented star coordinate translation method for reliable clustering parameterization
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
The discovery of hierarchical cluster structures assisted by a visualization technique
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
Using R-trees for interactive visualization of large multidimensional datasets
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
A top-down approach for hierarchical cluster exploration by visualization
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
CloudVista: visual cluster exploration for extreme scale data in the cloud
SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management
Hifocon: object and dimensional coherence and correlation in multidimensional visualization
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
HOV3: an approach to visual cluster analysis
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
A knowledge integration framework for information visualization
From Integrated Publication and Information Systems to Virtual Information and Knowledge Environments
Selection of the optimal parameter value for the ISOMAP algorithm
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
Improvement of data visualization based on ISOMAP
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
Visualization tree, multiple linked analytical decisions
SG'05 Proceedings of the 5th international conference on Smart Graphics
Interactive methods for exploring particle simulation data
EUROVIS'05 Proceedings of the Seventh Joint Eurographics / IEEE VGTC conference on Visualization
Structural decomposition trees
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
Consensus Development Support System for Opinion Convergence by Visualizing Input History
International Journal of Organizational and Collective Intelligence
Continuous representation of projected attribute spaces of multifields over any spatial sampling
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
Visual analysis of large-scale network anomalies
IBM Journal of Research and Development
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Interactive visualizations are effective tools in mining scientific, engineering, and business data to support decision-making activities. Star Coordinates is proposed as a new multi-dimensional visualization technique, which supports various interactions to stimulate visual thinking in early stages of knowledge discovery process. In Star Coordinates, coordinate axes are arranged on a two-dimensional surface, where each axis shares the same origin point. Each multi-dimensional data element is represented by a point, where each attribute of the data contributes to its location through uniform encoding. Interaction features of Star Coordinates provide users the ability to apply various transformations dynamically, integrate and separate dimensions, analyze correlations of multiple dimensions, view clusters, trends, and outliers in the distribution of data, and query points based on data ranges. Our experience with Star Coordinates shows that it is particularly useful for the discovery of hierarchical clusters, and analysis of multiple factors providing insight in various real datasets including telecommunications churn.