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Books by Eibe Frank
  | | Data Mining, Fourth Edition(4th Edition) Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) by Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher J. Pal Paperback, 654 Pages, Published 2016 by Morgan Kaufmann ISBN-13: 978-0-12-804291-5, ISBN: 0-12-804291-5 "Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting ou ..." |
 | | Data Mining(3rd Edition) 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 Paperback, 664 Pages, Published 2011 by Morgan Kaufmann ISBN-13: 978-0-12-374856-0, ISBN: 0-12-374856-9 "Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, 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. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, ..." |
 | | Data Mining(1st Edition) Practical Machine Learning Tools and Techniques with Java Implementations (The Morgan Kaufmann Series in Data Management Systems) by Ian H. Witten, Eibe Frank, Jim Gray Paperback, 371 Pages, Published 1999 by Morgan Kaufmann ISBN-13: 978-1-55860-552-7, ISBN: 1-55860-552-5 "Data mining techniques are used to power intelligent software, both on and off the Internet. Data Mining: Practical Machine Learning Tools explains the magic behind information extraction in a book that succeeds at bringing the latest in computer science research to any IS manager or developer. In addition, this book provides an opportunity for the authors to showcase their powerful reusable Java class library for building custom data m ..." |
 | | Data Mining(1st Edition) Know It All by Ian H. Witten, Soumen Chakrabarti, Earl Cox, Eibe Frank, Dr Richard E. Neapolitan, Jiawei Han, Xia Jiang, Micheline Kamber, Sam S. Lightstone, Thomas P. Nadeau, Dorian Pyle, Mamdouh Refaat, Markus Schneider, Toby J. Teorey, Ralf G. Ting, Ralf Hartmut Güting, Jaiwei Han, Ralf Hartmut Gueting Hardcover, 480 Pages, Published 2008 by Morgan Kaufmann ISBN-13: 978-0-12-374629-0, ISBN: 0-12-374629-9 "This book brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of data mining and machine learning tactics ? from data integration and pre-processing, to fundamental algorithms, to optimization techniques and web mining methodology. The proposed book expertly combines th ..." |
 | | Data Mining(2nd Edition) Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems) by Ian H. Witten, Eibe Frank Paperback, 560 Pages, Published 2005 by Morgan Kaufmann ISBN-13: 978-0-12-088407-0, ISBN: 0-12-088407-0 "As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. 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 ..." |
 | | The Morgan Kaufmann Series in Data Management Systems(3rd Edition) Data Mining : Practical Machine Learning Tools and Techniques with Java Implementations by Ian H. Witten, Eibe Frank, Mark A. Hall Paperback, 664 Pages, Published 2011 by Morgan Kaufmann ISBN-13: 978-0-08-089036-4, ISBN: 0-08-089036-9 "Data Mining: Practical Machine Learning Tools and Techniquesoffers 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. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating result ..." |
 | | Data Mining Know It All: Know It All by Soumen Chakrabarti, Earl Cox, Eibe Frank, Ralf Hartmut Güting, Jiawei Han, Xia Jiang, Micheline Kamber, Sam S. Lightstone, Thomas P. Nadeau, Richard E. Neapolitan, Dorian Pyle, Mamdouh Refaat, Markus Schneider, Toby J. Teorey, Ian H. Witten Paperback, 480 Pages, Published 2008 by Morgan Kaufmann ISBN-13: 978-0-08-087788-4, ISBN: 0-08-087788-5 "This book brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of data mining and machine learning tactics ? from data integration and pre-processing, to fundamental algorithms, to optimization techniques and web mining methodology.The proposed book expertly combines the ..." |
 | | The Morgan Kaufmann Series in Data Management Systems Ser.(2nd Edition) Data Mining : Practical Machine Learning Tools and Techniques, Second Edition by Ian H. Witten, Eibe Frank Paperback, 560 Pages, Published 2005 by Morgan Kaufmann ISBN-13: 978-0-08-047702-2, ISBN: 0-08-047702-X "As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. 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 ..." |
 | | Data Mining Practical Machine Learning Tools and Techniques by Eibe Frank, Ian H. Witten 525 Pages, Published 2005 by Morgan Kaufmann Publishers ISBN-13: 978-1-4237-2244-1, ISBN: 1-4237-2244-2 "Much anticipated second edition of the highly-acclaimed reference on data mining and machine learning." |
 | | The Morgan Kaufmann Series in Data Management Systems Data Mining : Practical Machine Learning Tools and Techniques by Ian H. Witten, Mark A. Hall, Eibe Frank, Christopher J. Pal 654 Pages, Published 2016 by Morgan Kaufmann ISBN-13: 978-0-12-804357-8, ISBN: 0-12-804357-1 "IRISES: A. CLASSIC. NUMERIC. DATASET. The iris dataset, which dates back to seminal work by the eminent statistician R.A. Fisher in the mid-1930s and is arguably the most famous dataset used in machine learning, contains 50 examples each of three types of plant: Iris setosa, Iris versicolor, and Iris virginica. It is excerpted in Table 1.4. There are four attributes: sepal length, sepal width, petal length, and petal width (all mea ..." |
 | | WEKA Manual for Version 3-6-13 by Mark Hall, Eibe Frank, Richard Kirkby, Remco Bouckaert, Peter Reutemann, Alex Seewald, David Scuse 304 Pages, Published 2015 ISBN-13: 978-1-5195-5464-2, ISBN: 1-5195-5464-8 "Weka 3.6.13 User Manual" |
 | | Morgan Kaufmann Series in Data Manageme Ser. Data Mining: Practical Machine Learning Tools and Techniques: Practical Machine Learning Tools and Techniques by Ian H. Witten, Eibe Frank, Mark A. Hall Professor Published 2011 ISBN-13: 978-1-282-95388-8, ISBN: 1-282-95388-5 |
 | | Data Mining Know It All: Know It All by Ian H. Witten, Earl Cox, Eibe Frank, Soumen Chakrabarti, Jiawei Han Published 2008 ISBN-13: 978-1-282-71112-9, ISBN: 1-282-71112-1 |
 | | The Morgan Kaufmann Series in Data Management Systems Ser. Data Mining : Practical Machine Learning Tools and Techniques with Java Implementations by Ian H. Witten, Eibe Frank Digital, 371 Pages, Published 1999 by Morgan Kaufmann Publishers ISBN-13: 978-0-08-050365-3, ISBN: 0-08-050365-9 |
 | | Morgan Kaufmann Series in Data Management Systems Ser. by Ian H. Witten, Eibe Frank Published 2005 ISBN-13: 978-1-281-00806-0, ISBN: 1-281-00806-0 |
 | | Data Mining(3rd Edition) Practical Machine Learning Tools and Techniques [ DATA MINING: PRACTICAL MACHINE LEARNING TOOLS AND TECHNIQUES BY Witten, Ian H. ( Author ) Jan-20-2011 by Ian H. Witten, Witten Frank, Pauline M. Doran, Eibe Frank Paperback, Published 2013 by Morgan Kaufmann ISBN-13: 978-93-80501-86-4, ISBN: 93-80501-86-2 "Data mining is not an intuitive activity. It requires skills and techniques which can be honed by using books like data mining: practical machine learning tools and techniques. This book is an ultimate guide for applying machine learning techniques and tools in real-world situations of data mining. The book will help you interpret outputs, evaluate results and prepare inputs and will provide the algorithmic methods for efficient data mi ..." |
 | | DATA MINING, 4TH EDITION by IAN H. WITTEN, EIBE FRANK & MARK A. HALL Paperback, Published 2019 by Elsevier India ISBN-13: 978-93-5107-389-5, ISBN: 93-5107-389-0 |
 | | Data Mining Practical Machine Learning Tools and Techniques (3rd Edition) by William B. Coleman, Gregory J. Tsongalis, Ian H. Witten, Eibe Frank, Mark A. Hall Published 2010 by Academic Press, Elsevier ISBN-13: 978-978-012-374-1, ISBN: 978-012-374-1 |
 | | Data Mining by Witten Ian H., Eibe Frank Paperback, Published 2008 by Elsevier ISBN-13: 978-81-312-0050-6, ISBN: 81-312-0050-7 |
 | | Data Mining Practical Machine Learning technology and Java (English)(Chinese Edition) by Eibe Frank, Ian H. Witten Paperback, 397 Pages, Published 2000 by Machinery Industry Press ISBN-13: 978-7-111-12769-7, ISBN: 7-111-12769-2 "Paperback. Pub Date: 2003 09 Pages: 369 Language: English Publisher: China Machine Press Data Mining: Practical Machine Learning technology and Java (English) is a data mining algorithms and data mining practice perfect combination it's excellent textbook. Of its wealth of experience. the concept of data mining and data mining technology (machine learning) easy introduction and application of machine learning tools for data mining gives ..." |
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