A Review of Feature Selection Methods for Classification Problem

  Nidhi B. Gadhia,  Gopi B. Sanghani

The Classification are carried out using various feature selection technique. The feature selection methods allows the classification to be carried out more accurately and efficiently. Feature selection is one of the leading trends in the research work going on. There are various feature selection methods which are used along with the classification methods. According to the application the most appropriate feature selection method is selection for selection the feature. The selected feature is then supplied to the classifier to carry out the classification of data. Here we study 6 different Feature selection method which are Document Frequency (DF), Mutual Information (MI), Information Gain (IG), CHI Square Statistics, and Bi – Normal Separation. These methods are used separately for the text classification or a combination of methods are used.

Keywords- Feature Selection, Classification, Mutual Information, Information gain, CHI Square Statistics, Bi – Normal Separation, Text Classification.

Unique Identification Number - IJEDR1404082
Page Number(s) - 3897-3900
Pubished in - Volume 2 | Issue 4 | Dec 2014
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Nidhi B. Gadhia,  Gopi B. Sanghani,   "A Review of Feature Selection Methods for Classification Problem", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.2, Issue 4, pp.3897-3900, Dec 2014, Available at :http://www.ijedr.org/papers/IJEDR1404082.pdf