TY  - BOOK
AU  - Garcia,Salvador
AU  - Luengo,Julian
AU  - Herrera,Francisco
TI  - Data preprocessing in data mining
T2  - Intelligent systems reference library ; 
SN  - 9783319102467
U1  - 006.312 23
PY  - 2015///
CY  - Switzerland
PB  - Springer
KW  - Data mining.
KW  - Electronic data processing
KW  - Data preparation
N1  - Includes bibliographical references and index; 1. Introduction --
2. Data Sets and Proper Statistical Analysis of Data Mining Techniques --
3. Data Preparation Basic Models --
4. Dealing with Missing Values --
5. Dealing with Noisy Data --
6. Data Reduction --
7. Feature Selection --
8. Instance Selection --
9. Discretization --
10. A Data Mining Software Package Including Data Preparation and Reduction: KEEL --
Index
N2  - This book is intended to review the tasks that fill the gap between the data acquisition from the source and the data mining process. A comprehensive look from a practical point of view, including basic concepts and surveying the techniques proposed in the specialized literature, is given.Each chapter is a stand-alone guide to a particular data preprocessing topic, from basic concepts and detailed descriptions of classical algorithms, to an incursion of an exhaustive catalog of recent developments. The in-depth technical descriptions make this book suitable for technical professionals, researchers, senior undergraduate and graduate students in data science, computer science and engineering
ER  -