Author: Ian H. Witten
Edition: 1
Binding: Paperback
ISBN: 1558605525
Publisher: Morgan Kaufmann
Features:
Edition: 1
Binding: Paperback
ISBN: 1558605525
Publisher: Morgan Kaufmann
Features:
Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations (The Morgan Kaufmann Series in Data Management Systems)
This book offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. Search and download computer ebooks Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations (The Morgan Kaufmann Series in Data Management Systems) for free.
Taylor & Francis Ltd | 2008 | 336 pages | ISBN-13: 9781420070194 | ISBN-10: 1420070193 | You save 10%. Download Data Mining computer ebooks
Inside, you'll learn all you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining-including both tried-and-true techniques of the past and Java-based methods at the leading edge of contemporary research. If you're involved at any level in the work of extracting usable knowledge from large collections of data, this clearly written and effectively illustrated book will prove an invaluable resource.
Complementing the authors' instruction is a fully functional platform-independent Java soft
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
Categories: Data mining, Data warehousing, Database management->Congresses. Contributors: Yahiko Kambayashi - Author. Format: Paperback
Data Mining Free
Inside, you'll learn all you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining-including both tried-and-true techniques of the past and Java-based methods at the leading edge of contemporary research
Complementing the authors' instruction is a fully functional platform-independent Java soft
