Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Get and download textbook Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems) for free
Taylor & Francis Ltd | 2008 | 336 pages | ISBN-13: 9781420070194 | ISBN-10: 1420070193 | You save 10%
Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no alchemy. Instead there is an identifiable body of practical techniques that can extract useful information from raw data. This book describes these techniques and shows how they work.
The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights for the new Data Mining new edition
Download free books for Sports Data Mining
Data mining is the process of extracting hidden patterns from data, and it's commonly used in business, bioinformatics, counter-terrorism, and, increasingly, in professional sports. First popularized in Michael Lewis' best-selling Moneyball: The Art of Winning An Unfair Game, it is has become an intrinsic part of all professional sports the world over, from baseball to cricket to soccer. While an industry has developed based on statistical analysis services for any given sport, or even for betting behavior analysis on these sports, no research-level book has considered the subject in any detai
Categories: Early childhood education->Activities, Data mining, Early childhood education->Activitie. Contributors: Ian H. Witten - Author. Format: NOOK Book
Categories: Data mining, Decision support systems. Contributors: Dunja Mladenic - Author. Format: Hardcover
Managing Data Mining Technologies in Organizations: Techniques and Applications: Parag Pendharkar
Data Mining Textbook
Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no alchemy. Instead there is an identifiable body of practical techniques that can extract useful information from raw data. This book describes these techniques and shows how they work
The highlights for the new
