UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 3 | March 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 6 Issue 2
February-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIRAB06146


Registration ID:
197771

Page Number

766-771

Share This Article


Jetir RMS

Title

Analysis of Information Gain Ranking Feature Selection Algorithm Using UCI Machine Learning Datasets

Abstract

Data mining is a process to extract usable data from a larger set . Feature selection is one of the important pre-processing steps in data mining. Feature selection (FS) is a process to select features which are more informative. This paper analyses five feature selection algorithms such as Information Gain, Correlation Attribute , Relief-F, One-R, Symmetrical Uncertainty using five UCI machine Learning data sets. The classification performance of the reduced data is measured by WEKA classifiers JRIP and J48. Based on the classification accuracy we propose Information Gain feature selection algorithm.

Key Words

Data Mining, Feature Selection, Classifiers J48, JRIP

Cite This Article

"Analysis of Information Gain Ranking Feature Selection Algorithm Using UCI Machine Learning Datasets", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.766-771, February-2019, Available :http://www.jetir.org/papers/JETIRAB06146.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Analysis of Information Gain Ranking Feature Selection Algorithm Using UCI Machine Learning Datasets", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp766-771, February-2019, Available at : http://www.jetir.org/papers/JETIRAB06146.pdf

Publication Details

Published Paper ID: JETIRAB06146
Registration ID: 197771
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier):
Page No: 766-771
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0002900

Print This Page

Current Call For Paper

Jetir RMS