Data Preprocessing in Data Mining
Author:   Salvador García ,  Julián Luengo ,  Francisco Herrera
Publisher:   Springer International Publishing AG
Edition:   2015 ed.
Volume:   72
ISBN:  

9783319102467


Pages:   320
Publication Date:   11 September 2014
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Data Preprocessing in Data Mining


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Author:   Salvador García ,  Julián Luengo ,  Francisco Herrera
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2015 ed.
Volume:   72
Dimensions:   Width: 15.50cm , Height: 2.30cm , Length: 23.50cm
Weight:   6.269kg
ISBN:  

9783319102467


ISBN 10:   331910246
Pages:   320
Publication Date:   11 September 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction.- Data Sets and Proper Statistical Analysis of Data Mining Techniques.- Data Preparation Basic Models.- Dealing with Missing Values.- Dealing with Noisy Data.- Data Reduction.- Feature Selection.- Instance Selection.- Discretization.- A Data Mining Software Package Including Data Preparation and Reduction: KEEL.

Reviews

From the book reviews: This book is a comprehensive collection of data preprocessing techniques used in data mining. Any readers who practice data mining will find it beneficial ... . This book is an excellent guideline in the topic of data preprocessing for data mining. It is suitable for both practitioners and researchers who would like to use datasets in their data mining projects. (Xiannong Meng, Computing Reviews, December, 2014)


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