UGC Approved Journal no 63975(19)

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Published in:

Volume 7 Issue 10
October-2020
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2010352


Registration ID:
302702

Page Number

2724-2726

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Title

An Integrated Approach for feature selection

Abstract

In the current digital world huge voluminous data is getting generated and stored by various stake holder of the system. To improve the performance organizations started utilizing this data for analysis for better decision making and improve the performance. Data mining/machine learning techniques are most widely used techniques for analyzing the data. As the real world data is very huge and may attributes are included it has become mandatory to apply some feature selection algorithm for dimensionality reduction in order to identify the features relevant for given type of analysis and use of feature selection algorithm generates a model with better accuracy and reduced learning time and only such features are used for analysis and so that the model will be created with high accuracy and less learning time. In this paper we propose a measure called relative dependency for identifying redundant attributes. Comparative performance of various classification algorithms is illustrated in the paper on various data set collected from UCI repository.

Key Words

Keywords: Feature Selection, Attribute Dissimilarity

Cite This Article

"An Integrated Approach for feature selection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 10, page no.2724-2726, October-2020, Available :http://www.jetir.org/papers/JETIR2010352.pdf

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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

"An Integrated Approach for feature selection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 10, page no. pp2724-2726, October-2020, Available at : http://www.jetir.org/papers/JETIR2010352.pdf

Publication Details

Published Paper ID: JETIR2010352
Registration ID: 302702
Published In: Volume 7 | Issue 10 | Year October-2020
DOI (Digital Object Identifier):
Page No: 2724-2726
Country: HYDERABAD, TELENGANA, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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