Information Visualization in Data Mining and Knowledge Discovery

Information Visualization in Data Mining and Knowledge Discovery
Author: Usama M. Fayyad
Publisher: Morgan Kaufmann
Total Pages: 446
Release: 2002
Genre: Computers
ISBN: 9781558606890

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This text surveys research from the fields of data mining and information visualisation and presents a case for techniques by which information visualisation can be used to uncover real knowledge hidden away in large databases.


Information Visualization in Data Mining and Knowledge Discovery
Language: en
Pages: 446
Authors: Usama M. Fayyad
Categories: Computers
Type: BOOK - Published: 2002 - Publisher: Morgan Kaufmann

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This text surveys research from the fields of data mining and information visualisation and presents a case for techniques by which information visualisation ca
Visual Data Mining
Language: en
Pages: 417
Authors: Simeon Simoff
Categories: Computers
Type: BOOK - Published: 2008-07-18 - Publisher: Springer Science & Business Media

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The importance of visual data mining, as a strong sub-discipline of data mining, had already been recognized in the beginning of the decade. In 2005 a panel of
The Craft of Information Visualization
Language: en
Pages: 431
Authors: Benjamin B. Bederson
Categories: Computers
Type: BOOK - Published: 2003-05-22 - Publisher: Elsevier

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Since the beginning of the computer age, researchers from many disciplines have sought to facilitate people's use of computers and to provide ways for scientist
Visual Knowledge Discovery and Machine Learning
Language: en
Pages: 332
Authors: Boris Kovalerchuk
Categories: Technology & Engineering
Type: BOOK - Published: 2018-01-17 - Publisher: Springer

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This book combines the advantages of high-dimensional data visualization and machine learning in the context of identifying complex n-D data patterns. It vastly
Geographic Data Mining and Knowledge Discovery
Language: en
Pages: 486
Authors: Harvey J. Miller
Categories: Computers
Type: BOOK - Published: 2009-05-27 - Publisher: CRC Press

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The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and Spatiotemporal DatabasesSince the publication of the first edition of Geograph