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Data Mining: Practical Machine Learning Tools and Techniques, Third Edition (The Morgan Kaufmann Series in Data Management Systems) by 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) Ian H. Witten, Eibe Frank, Mark A. Hall ebook
Format: pdf
Publisher: Morgan Kaufmann
Page: 665
ISBN: 0123748569, 9780123748560

Hall Publisher: Morgan Kaufmann Date : 2011. 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 (Morgan Kaufmann Series in Data Management Systems). Check Out Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations (The Morgan Kaufmann Series in Data Management Systems). "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. Han J, Kamber M (2006) Data Mining: Concepts and Techniques. The proposed method is examined by an experimental study using three MCDM methods, the well-known clustering algorithm–k-means, ten relative measures, and fifteen public-domain UCI machine learning data sets. Data Mining: Practical Machine Learning Tools and Techniques, Third Edition (The Morgan Kaufmann Series in Data Management Systems) 2. Uploaded by James Gilliland on May 13, 2013 at 10:51 pm. Data Mining: Practical Machine Learning Tools and Techniques, Third Edition (The Morgan Kaufmann Series in Data Management Systems) Ian H. Witten IH, Frank E (2005) Data Mining: Practical machine learning tools and techniques, 2nd Edition. Format : PDF Language : English ISBN-10 : 0123748569. Morgan Kaufmann, San Francisco.