Printer Friendly

Data mining and knowledge discovery technologies.


Data mining and knowledge discovery technologies.

Ed. by David Taniar.

IGI Publishing


369 pages



Advances in data warehousing and mining; v.2, 2007


The first four chapters in this collection propose association rules for multidimensional data, XML data, web data, and interestingness measures. The next six articles explore fuzzy clustering algorithms, a radial basis function kernel for k-means clustering, privacy issues in kNN classification, the discovery of actionable knowledge, and model free data mining. The final four chapters apply data mining to business problems, bioinformatics, social sciences, and learning.

([c]20082005 Book News, Inc., Portland, OR)
COPYRIGHT 2008 Book News, Inc.
No portion of this article can be reproduced without the express written permission from the copyright holder.
Copyright 2008 Gale, Cengage Learning. All rights reserved.

Article Details
Printer friendly Cite/link Email Feedback
Publication:SciTech Book News
Article Type:Brief Article
Date:Mar 1, 2008
Previous Article:Easy Mac OS X Leopard.
Next Article:The future of U.S. chemistry research; benchmarks and challenges.

Related Articles
Mining for information gold: data mining offers the RIM professional an opportunity to contribute to knowledge discovery in databases in a...
Database and expert systems applications; proceedings.
Mining graph data.
Tools with artifical intelligence; proceedings. (CD-ROM included).
Knowledge discovery and data mining; challenges and realities.
Fuzzy systems and knowledge discovery; proceedings; 4v.
Disposal of Hazardous Waste in Underground Mines.
Successes and new directions in data mining.
Knowledge discovery and data mining; proceedings.

Terms of use | Privacy policy | Copyright © 2022 Farlex, Inc. | Feedback | For webmasters |