Principles of Data Mining (Adaptive Computation and Machine Learning)
The growing interest in data mining is motivated by a common problem across disciplines: how does one store, access, model, and ultimately describe and understand very large data sets? Historically, different aspects of data mining have been addressed independently by different disciplines. Get and download textbook Principles of Data Mining (Adaptive Computation and Machine Learning) for free
Springer-Verlag Berlin And Heidelberg Gmbh & Co. Kg | 1998 | 494 pages | ISBN-13: 9783540650683 | ISBN-10: 3540650687 | You save 20%
This is the first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics.The book consists of three sections. The first, foundations, provides a tutorial overview of the principles underlying data mining algorithms and their application. The presentation emphasizes intuition rather than rigor. The second section, data mining algorithms, shows how algorithms are constructed to solve sp 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 is the first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics.The book consists of three sections. The first, foundations, provides a tutorial overview of the principles underlying data mining algorithms and their application. The presentation emphasizes intuition rather than rigor
his is the first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics.The book consists of three sections. The first, foundations, provides a tutorial overview of the principles underlying data mining algorithms and their application. The presentation emphasizes intuition rather than rigor. The second section, data mining algorithms, shows how algorithms are constructed to solve sp
