IJERT-EMS
IJERT-EMS

Classification and Feature Selection Techniques in Data Mining


Classification and Feature Selection Techniques in Data Mining
Authors : Sunita Beniwal, Jitender Arora
Publication Date: 30-08-2012

Authors

Author(s):  Sunita Beniwal, Jitender Arora

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Vol.1 - Issue 6 (August- 2012)

e-ISSN:   2278-0181

Abstract

Data mining is a form of knowledge discovery essential for solving problems in a specific domain. Classification is a technique used for discovering classes of unknown data. Various methods for classification exists like bayesian, decision trees, rule based, neural networks etc. Before applying any mining technique, irrelevant attributes needs to be filtered. Filtering is done using different feature selection techniques like wrapper, filter, embedded technique. This paper is an introductory paper on different techniques used for classification and feature selection.

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