Information visualization in data mining & knowledge discovery

The science of information visualization is continually discovering the principles by which data can be graphically ordered to make it most meaningful to the human eye. This is the first book to examine the great potential of information visualization as a tool for data mining. It is sure to make significant contributions to the work of both academics and industry practitioners.

Information Visualization in Data Mining and Knowledge Discovery: An Overview Usama Fayyad and Georges G. Grinstein Data Visualization Introduction to Data Visualization Georges G. Grinstein and Matthew O. Ward A Survey of Visualizations for High Dimensional Data Mining Patrick E. Hoffman and Georges G. Grinstein Evaluation of Visualization Systems Ronald M. Pickett and Georges G. Grinstein The Data Visualization Environment Mike Foster and Alexander G. Gee Visualizing Massive Multivariate Time-Series Data Dennis DeCoste Portable Document Indexes John Light Character-Based Data Visualization for Data Mining Michel Pilote and Madeleine Fillion KDD and Model Visualization Visualization in the Knowledge Discovery Process Ken Collier, Muralidhar Medidi and Donald Sautter What can Visualization do for Data Mining? Andreas Wierse Multidimensional Information Visualizations for Data Mining with Applications to Machine Learning Classifiers Patrick E. Hoffman and Georges G. Grinstein Benchmark Development for the Evaluation of Visualization for Data Mining Georges G. Grinstein, Patrick E. Hoffman, Sharon J. Laskowski, and Ronald M. Pickett Data Visualization for Decision Support Activities Henry S. Gertzman A Visualization-Driven Approach for Strategic Knowledge Discovery David Law Yuh Foong A Visual Metaphor for Knowledge Discovery: An Integrated Approach to Visualizing the Task, Data and Results Peter Docherty and Allan Beck Visualizing Data Mining Models Kurt Thearling, Barry Becker, Dennis DeCoste, Bill Mawby, Michel Pilote, and Dan Sommerfield Model Visualization Wesley Johnston Issues in Time Series and Categorical Data Exploration Nancy Grady, Raymond Flanery, Jr., June Donato and Jack Schryver Visualizing the Simple Bayesian Classifier Barry Becker, Ronny Kohavi and Dan Sommerfield Visualizing Data Mining Results with Domain Generalization Graphs Robert J. Hilderman, Liangchun Li and Howard J. Hamilton An Adaptive Interface Approach for Real-time Data Exploration Martin R. Stytz and Sheila B. Banks Integrating KDD and Visualization in Exploration Environments Discovering New Relationships: A Brief Overview of Data Mining and Knowledge Discovery Philip J. Rhodes A Taxonomy for Integrating Data Mining and Data Visualization Thomas H. Hinke and Timothy S. Newman Integrating Data Mining and Visualization Processes Nancy Grady, Loretta Auvill, Allen Beck, Peter R. Bono, Mary Dimmock, and Claudio J. Meneses Multidimensional Education, Visual and Algorithmic Data Mining Domains and Symbiosis Ted W. Mihalisin Robust Beta Mining R. Douglas Martin and Tim Simin Use of the Manifold Concept in Model Visualization William D. Mawby Data Warfare and Multidimensional Education Ted W. Mihalisin Document Mining and Visualization Alexander G. Gee and John Light Research Issues in the Analysis and Visualization of Massive Data Sets Claudio J. Meneses and Georges G. Grinstein Towards Smarter Databases: A Case Building Toolkit Marc Ringuette The NASD Regulation Advanced Detection System: Integrating Data Mining and Visualization for Break Detection in the NASDAQ Stock Market Ted E. Senator, Henry G. Goldberg, Ping Shyr, Scott Bennett, Steve Donoho, and Craig Lovell

Professionals and researchers in data mining, information visualisation and statisticians responsible for analysis of business and scientific data.