The visual display of quantitative information
The visual display of quantitative information
Simulated annealing: theory and applications
Simulated annealing: theory and applications
A Hierarchical Latent Variable Model for Data Visualization
IEEE Transactions on Pattern Analysis and Machine Intelligence
The String-to-String Correction Problem
Journal of the ACM (JACM)
Information visualization: perception for design
Information visualization: perception for design
The Information Mural: A Technique for Displaying and Navigating Large Information Spaces
IEEE Transactions on Visualization and Computer Graphics
IEEE Computer Graphics and Applications
Discovery Visualization Using Fast Clustering
IEEE Computer Graphics and Applications
Visualization Techniques for Mining Large Databases: A Comparison
IEEE Transactions on Knowledge and Data Engineering
30 Years of Multidimensional Multivariate Visualization
Scientific Visualization, Overviews, Methodologies, and Techniques
Interactive visualization and analysis of hierarchical neural projections for data mining
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Visualization and self-organization of multidimensional data through equalized orthogonal mapping
IEEE Transactions on Neural Networks
Network Elucidation Template: A framework for human-guided network inference
Computers and Industrial Engineering
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Visual data mining may overcome some of the flexibility problem often suffered by computer-centered data mining approaches. This can happen because human beings are introduced to the information discovery loop to take advantage of their natural strength in creative thinking and rapid visual pattern recognition to discover information not defined a priori and to perform approximated reasoning that computer algorithms are hard to do. This paper presents a novel visual exploration approach for mining abstract, multi-dimensional data stored in tables in a relational database. The visual image is constructed by converting each table into a visualization unit called a table graph and then assembling these table graphs together to form a small multiples design. Different types of non-uniform color mappings to render this small multiples design could be automatically generated by minimizing the weight differences of colors in the visual image. These non-uniform color mappings are designed in such a way that the adjacent glyphs in a table graph that have near underlying values will be assigned with the same color. As such, visual patterns not able to see under the traditional uniform color mapping could be revealed. This enables the users to examine the input tables from different perspectives. The proposed flexible visualization method has been applied to generate visual images from which the users could quickly and easily compare the machine idle cost performances of alternative master production plans.