Data Mining and Computational Intelligence

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Kandel, Abraham (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Last, Mark (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Bunke, Horst (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Heidelberg : Physica-Verlag HD : Imprint: Physica, 2001.
• Έκδοση: 1st ed. 2001.
• Σειρά: Studies in Fuzziness and Soft Computing, 68
• Θέματα: Database management.; Information technology.; Business-Data processing.; Artificial intelligence.; Database Management.; IT in Business.; Artificial Intelligence.
• Φυσική περιγραφή: 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.