Posted by **arundhati** at July 6, 2016

2012 | ISBN-10: 1468053450 | 202 pages | EPUB | 5 MB

Posted by **step778** at Feb. 2, 2016

2004 | pages: 205 | ISBN: 9812382909 | PDF | 4 mb

Posted by **libr** at Sept. 29, 2014

English | ISBN: 364223240X | 2012 | PDF | 264 pages | 6 MB

There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled “DATA MINING: Foundations and Intelligent Paradigms: Volume 2: Core Topics including Statistical, Time-Series and Bayesian Analysis” we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field.

Posted by **interes** at June 6, 2014

English | ISBN: 364223240X | 2012 | PDF | 264 pages | 6 MB

There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled “DATA MINING: Foundations and Intelligent Paradigms: Volume 2: Core Topics including Statistical, Time-Series and Bayesian Analysis” we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field.

Posted by **Grev27** at Nov. 7, 2012

English | ISBN: 9812382909 | 2004 | PDF | 205 pages | 3,96 mb

Posted by **tarantoga** at Feb. 9, 2012

Publisher: S.ri…r | ISBN: 3642231500 | 2012 | PDF | 380 pages | 7 MB

Posted by **tarantoga** at Feb. 9, 2012

Publisher: S.ri…r | ISBN: 364223240X | 2012 | PDF | 264 pages | 7 MB

Posted by **Hrast** at May 19, 2007

9789812382900 (9812382909) | World Scientific Publishing, 2004 | 2 MB | RS | FF

Posted by **Sonora** at Nov. 12, 2006

World Scientific | ISBN 981-238-290-9 | 2004 | PDF | 192 pages | 2.5 MB

Adding the time dimension to real-world databases produces Time Series Databases (TSDB) and introduces new aspects and difficulties to data mining and knowledge discovery. This book covers the state-of-the-art methodology for mining time series databases. The novel data mining methods presented in the book include techniques for efficient segmentation, indexing, and classification of noisy and dynamic time series. A graph-based method for anomaly detection in time series is described and the book also studies the implications of a novel and potentially useful representation of time series as strings. The problem of detecting changes in data mining models that are induced from temporal databases is additionally discussed.

Posted by **nebulae** at Aug. 6, 2017

English | ISBN: 143986683X | 2014 | 469 pages | PDF | 15 MB