Data Mining: Practical Machine Learning Tools and Techniques, Third Edition (The Morgan Kaufmann Series in Data Management Systems). Ian H. Witten, Eibe Frank, Mark A. Hall

Data Mining: Practical Machine Learning Tools and Techniques, Third Edition (The Morgan Kaufmann Series in Data Management Systems)


Data.Mining.Practical.Machine.Learning.Tools.and.Techniques.Third.Edition.pdf
ISBN: 0123748569,9780123748560 | 665 pages | 17 Mb


Download Data Mining: Practical Machine Learning Tools and Techniques, Third Edition (The Morgan Kaufmann Series in Data Management Systems)



Data Mining: Practical Machine Learning Tools and Techniques, Third Edition (The Morgan Kaufmann Series in Data Management Systems) Ian H. Witten, Eibe Frank, Mark A. Hall
Publisher: Morgan Kaufmann




Format : PDF Language : English ISBN-10 : 0123748569. Data Mining: Practical Machine Learning Tools and Techniques 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. Book Name: Data Mining: Practical Machine Learning Tools and Techniques, Third Edition (The Morgan Kaufmann Series in Data Management Systems) Author: Ian H. Xiaodong He 2008-10-07 22:20 Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems) by: Ian H. Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems) by Eibe Frank. 075065757X Programmable Controllers: An Engineer's Guide, Third Edition (Programmable Controllers) A. Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems). Best price Data Mining: Practical Machine Learning Tools and Techniques, Third Edition (The Morgan Kaufmann Series in Data Management Systems) order online now. Hall Publisher: Morgan Kaufmann Date : 2011. "The third edition of this practical guide to machine learning and data mining is fully updated to account for technological advances since its previous printing in 2005 and is now even more closely aligned with the use of the Weka open source machine learning, data mining and data modeling application.