Advances In Data Mining
Download and Read Advances In Data Mining full books in PDF, ePUB, and Kindle. Read online free Advances In Data Mining ebook anywhere anytime directly on your device. We cannot guarantee that every ebooks is available!
Advances in Knowledge Discovery and Data Mining
Author | : Usama M. Fayyad |
Publisher | : |
Total Pages | : 638 |
Release | : 1996 |
Genre | : Computers |
ISBN | : |
Download Advances in Knowledge Discovery and Data Mining Book in PDF, Epub and Kindle
Eight sections of this book span fundamental issues of knowledge discovery, classification and clustering, trend and deviation analysis, dependency derivation, integrated discovery systems, augumented database systems and application case studies. The appendices provide a list of terms used in the literature of the field of data mining and knowledge discovery in databases, and a list of online resources for the KDD researcher.
Advances in Knowledge Discovery and Data Mining Related Books
Language: en
Pages: 638
Pages: 638
Type: BOOK - Published: 1996 - Publisher:
Eight sections of this book span fundamental issues of knowledge discovery, classification and clustering, trend and deviation analysis, dependency derivation,
Language: en
Pages: 744
Pages: 744
Type: BOOK - Published: 2012-03-29 - Publisher: CRC Press
Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomer
Language: en
Pages: 263
Pages: 263
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media
Modern computer-based control systems are able to collect a large amount of information, display it to operators and store it in databases but the interpretatio
Language: en
Pages: 623
Pages: 623
Type: BOOK - Published: 2010-02-02 - Publisher: Springer Science & Business Media
Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety of important graph topi
Language: en
Pages: 187
Pages: 187
Type: BOOK - Published: 2012-07-09 - Publisher: Springer Science & Business Media
Nearly everyone knows K-means algorithm in the fields of data mining and business intelligence. But the ever-emerging data with extremely complicated characteri