Online Public Access Catalogue (OPAC)
Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis


Image from Google Jackets

Data preprocessing in data mining / Salvador Garcia, Julian Luengo and Francisco Herrera.

By: Contributor(s): Material type: TextTextSeries: Intelligent systems reference library ; v 72.Publication details: Switzerland : Springer, 2015.Description: xv, 320 p. : illustrations ; 25 cmISBN:
  • 9783319102467
Subject(s): DDC classification:
  • 006.312 23 G216
Contents:
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.
Summary: 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
Holdings
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
Total holds: 0

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.

There are no comments on this title.

to post a comment.
Library, Documentation and Information Science Division, Indian Statistical Institute, 203 B T Road, Kolkata 700108, INDIA
Phone no. 91-33-2575 2100, Fax no. 91-33-2578 1412, ksatpathy@isical.ac.in