
Information Visualization in Data Mining and Knowledge Discovery
Usama Fayyad, Georges G. Grinstein, Andreas Wierse
Résumé
Information Visualization in Data Mining and Knowledge Discovery is the first book to ask and answer these thought-provoking questions. It is also the first book to explore the fertile ground of uniting data mining and data visualization principles in a new set of knowledge discovery techniques. Leading researchers from the fields of data mining, data visualization, and statistics present findings organized around topics introduced in two recent international knowledge discovery and data mining workshops. Collected and edited by three of the area's most influential figures, these chapters introduce the concepts and components of visualization, detail current efforts to include visualization and user interaction in data mining, and explore the potential for further synthesis of data mining algorithms and data visualization techniques. This incisive, groundbreaking research is sure to wield a strong influence in subsequent efforts in both academic and corporate settings.
Features
- Details advances made by leading researchers from the fields of data mining, data visualization, and statistics.
- Provides a useful introduction to the science of visualization, sketches the current role for visualization in data mining, and then takes a long look into its mostly untapped potential.
- Presents the findings of recent international KDD workshops as formal chapters that together comprise a complete, cohesive body of research.
- Offerss compelling and practical information for professionals and researchers in database technology, data mining, knowledge discovery, artificial intelligence, machine learning, neural networks, statistics, pattern recognition, information retrieval, high-performance computing, and data visualization.
Contents
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
L'auteur - Usama Fayyad
Usama Fayyad is co-founder, president, and CEO of digiMine, a data warehousing and data mining ASP. Prior to digiMine, he founded and led Microsoft's Data Mining and Exploration Group, where he developed data mining prediction components for Microsoft Site Server and scalable algorithms for mining large databases.
L'auteur - Georges G. Grinstein
Georges G. Grinstein is a professor of computer science, director of the Institute for Visualization and Perception Research, and co-director of the Center for Bioinformatics and Computational Biology at the University of Massachusetts, Lowell. He is currently the chief technologist for AnVil Informatics, a data exploration company.
L'auteur - Andreas Wierse
Andreas Wierse is the managing director of VirCinity, a spin-off company of the Computing Centre of the University of Stuttgart. Previously, he worked at the Computer Centre, where he designed and implemented distributed data management for the COVISE visualization system and maintained a wide range of graphics workstations.
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Morgan Kaufmann |
Auteur(s) | Usama Fayyad, Georges G. Grinstein, Andreas Wierse |
Parution | 15/06/2001 |
Nb. de pages | 300 |
Format | 18,8 x 24,2 |
Couverture | Relié |
Poids | 970g |
Intérieur | Noir et Blanc |
EAN13 | 9781558606890 |
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