Data Mining: Theories, Algorithms, and Examples

Author:   Nong Ye
Publisher:   Taylor & Francis Inc
ISBN:  

9781439808382


Pages:   349
Publication Date:   26 July 2013
Format:   Hardback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Data Mining: Theories, Algorithms, and Examples


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Full Product Details

Author:   Nong Ye
Publisher:   Taylor & Francis Inc
Imprint:   CRC Press Inc
Dimensions:   Width: 15.60cm , Height: 2.50cm , Length: 23.40cm
Weight:   0.635kg
ISBN:  

9781439808382


ISBN 10:   1439808384
Pages:   349
Publication Date:   26 July 2013
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Reviews

... provides full spectrum coverage of the most important topics in data mining. By reading it, one can obtain a comprehensive view on data mining, including the basic concepts, the important problems in the area, and how to handle these problems. The whole book is presented in a way that a reader who do not have much background knowledge of data mining, can easily understand. You can find many figures and intuitive examples in the book. I really love these figures and examples, since they make the most complicated concepts and algorithms much easier to understand. -Zheng Zhao, SAS Institute Inc. , Cary, North Carolina, USA ... covers pretty much all the core data mining algorithms. It also covers several useful topics that are not covered by other data mining books such as univariate and multivariate control charts and wavelet analysis. Detailed examples are provided to illustrate the practical use of data mining algorithms. A list of software packages is also included for most algorithms covered in the book. These are extremely useful for data mining practitoners. I highly recommend this book for anyone interested in data mining. -Jieping Ye, Arizona State University, Tempe, USA


... provides full spectrum coverage of the most important topics in data mining. By reading it, one can obtain a comprehensive view on data mining, including the basic concepts, the important problems in the area, and how to handle these problems. The whole book is presented in a way that a reader who do not have much background knowledge of data mining, can easily understand. You can find many figures and intuitive examples in the book. I really love these figures and examples, since they make the most complicated concepts and algorithms much easier to understand. -Zheng Zhao, SAS Institute Inc. , Cary, North Carolina, USA ... covers pretty much all the core data mining algorithms. It also covers several useful topics that are not covered by other data mining books such as univariate and multivariate control charts and wavelet analysis. Detailed examples are provided to illustrate the practical use of data mining algorithms. A list of software packages is also included for most algorithms covered in the book. These are extremely useful for data mining practitoners. I highly recommend this book for anyone interested in data mining. -Jieping Ye, Arizona State University, Tempe, USA This is an excellent book for graduate students, professionals, or consultants who want to learn the different methods of data mining. The template that the author used: theory, example, software, references are very effective and efficient in conveying the general idea. The detailed examples are extremely helpful. -Stephen Hyatt, Northwestern Polytechnic University, Fremont, California, USA


Author Information

Nong Ye is Professor of Industrial Engineering at Arizona State University in Tempe.

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