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