Principles of Data Mining (Undergraduate Topics in Computer Science)
Data Mining, the automatic extraction of implicit and potentially useful information from data, is increasingly used in commercial, scientific and other application areas. Get and download textbook Principles of Data Mining (Undergraduate Topics in Computer Science) for free
Springer-Verlag Berlin And Heidelberg Gmbh & Co. Kg | 1998 | 494 pages | ISBN-13: 9783540650683 | ISBN-10: 3540650687 | You save 20%
Principles of Data Mining explains and explores the principal techniques of Data Mining: for classification, association rule mining and clustering. Each topic is clearly explained and illustrated by detailed worked examples, with a focus on algorithms rather than mathematical formalism. It is written for readers without a strong background in mathematics or statistics, and any formulae used are explained in detail. This second edition has been expanded to include additional chapters on using frequent pattern trees for Association Rule Mining, comparing classifiers, ensemble Principles of Data Mining new edition
Download free books for Principles of Data Mining and Knowledge Discovery: First European Symposium, PKDD '97, Trondheim, Norway, June 24-27, 1997 Proceedings
Principles of Data Mining and Knowledge Discovery: First European Symposium, PKDD '97, Trondheim, Norway, June 24-27, 1997 Proceedings: Jan Komorowski, Jan Zytkow
Categories: Data mining, Knowledge acquisition (Expert systems), Database management->Congresses. Contributors: Jan Komorowski - Editor. Format: Paperback
Categories: Data mining. Contributors: David J. Hand - Author. Format: Hardcover
Categories: Data mining. Contributors: Max Bramer - Author. Format: Paperback
Principles of Data Mining Textbook
This second edition has been expanded to include additional chapters on using frequent pattern trees for Association Rule Mining, comparing classifiers, ensemble
