Information Visualization in Data Mining and Knowledge Discovery

 
 
Morgan Kaufmann Publishers In
  • erschienen im August 2001
 
  • Buch
  • |
  • Hardcover
  • |
  • 407 Seiten
978-1-55860-689-0 (ISBN)
 
Mainstream data mining techniques significantly limit the role of human reasoning and insight. Likewise, in data visualization, the role of computational analysis is relatively small. The power demonstrated individually by these approaches to knowledge discovery suggests that somehow uniting the two could lead to increased efficiency and more valuable results. But is this true? How might it be achieved? And what are the consequences for data-dependent enterprises?

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.
  • Englisch
  • San Francisco
  • |
  • USA
Elsevier Science & Technology
  • Für höhere Schule und Studium
colour and b&w illustrations
  • Höhe: 235 mm
  • |
  • Breite: 187 mm
  • 978 gr
978-1-55860-689-0 (9781558606890)
1558606890 (1558606890)
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.
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
DNB DDC Sachgruppen

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