Feature Selection Techniques in Data Mining: A Study

K.Pavya , Dr.B.Srinivasan

Feature Selection, Data mining , Filter approach, Wrapper approach

Abstract- One of the major challenges these days is dealing with large amount of data extracted from the network that needs to be analyzed. Feature Selection plays the very important role in Intrusion Detection System. Feature Selection assists in selecting the minimum number of features from the number of features that need more computation time, large space, etc. Feature selection has become interest to many research areas which deal with machine learning and data mining, because it provides the classifiers to be fast, cost-effective, and more accurate.

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"Feature Selection Techniques in Data Mining: A Study", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 6, page no.594 - 598, June-2017, Available :https://ijsdr.org/papers/IJSDR1706087.pdf

Volume 2 Issue 6, June-2017

Pages : 594 - 598

Paper Reg. ID: IJSDR_170584

Published Paper Id: IJSDR1706087

Downloads: 000347191

Research Area: Engineering

Country: Erode, Tamil Nadu, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1706087

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1706087

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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