INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Feature Selection Techniques in Data Mining: A Study
Authors Name:
K.Pavya
, Dr.B.Srinivasan
Unique Id:
IJSDR1706087
Published In:
Volume 2 Issue 6, June-2017
Abstract:
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.
Keywords:
Feature Selection, Data mining , Filter approach, Wrapper approach
Cite Article:
"Feature Selection Techniques in Data Mining: A Study", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 6, page no.594 - 598, June-2017, Available :http://www.ijsdr.org/papers/IJSDR1706087.pdf
Downloads:
000337072
Publication Details:
Published Paper ID: IJSDR1706087
Registration ID:170584
Published In: Volume 2 Issue 6, June-2017
DOI (Digital Object Identifier):
Page No: 594 - 598
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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