Data Mining and Computational Intelligence

• Corporate Author: SpringerLink (Online service)
• Other Authors: Kandel, Abraham (Editor, http://id.loc.gov/vocabulary/relators/edt), Last, Mark (Editor, http://id.loc.gov/vocabulary/relators/edt), Bunke, Horst (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Heidelberg : Physica-Verlag HD : Imprint: Physica, 2001.
• Edition: 1st ed. 2001.
• Series: Studies in Fuzziness and Soft Computing, 68
• Subjects: Database management.; Information technology.; Business-Data processing.; Artificial intelligence.; Database Management.; IT in Business.; Artificial Intelligence.
• Physical Description: XII, 356 p. online resource.
• ISBN: 9783790818253
• ISSN: 1434-9922 ;
• DOI: 10.1007/978-3-7908-1825-3

The volume offers a comprehensive coverage of the recent advances in the application of soft computing and fuzzy logic theory to data mining and knowledge discovery databases. It focuses on some of the hardest, and yet unsolved, issues of data mining like understandability of patterns, finding complex relationships between attributes, handling missing and noisy data, mining very large datasets, change detection in time series, and integration of the discovery process with database management systems.