Data preprocessing in data mining / Salvador Garcia, Julian Luengo and Francisco Herrera.
Material type:
TextSeries: Intelligent systems reference library ; v 72.Publication details: Switzerland : Springer, 2015.Description: xv, 320 p. : illustrations ; 25 cmISBN: - 9783319102467
- 006.312 23 G216
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 006.312 G216 (Browse shelf(Opens below)) | Available | 136560 |
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| 006.312 F363 Statistical data mining using SAS applications | 006.312 F364 Statistical data mining using SAS applications/ | 006.312 G184 Knowledge discovery from data streams/ | 006.312 G216 Data preprocessing in data mining / | 006.312 G538 Classification and data mining / | 006.312 H749 Data Mining: Foundations and Intelligent Paradigms | 006.312 H749 Data Mining: Foundations and Intelligent Paradigms |
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.
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.
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