UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIRCS06052


Registration ID:
211815

Page Number

233-237

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Title

Employee Performance Appraisal System Using Hybrid algorithm

Abstract

Employee performance appraisal system it is effective technique that contributes to the important aspects of the organization in its business domain. The traditional methods of evaluation are rating scale method and qualitative appraisal criteria using quantifiable attributes however it’s in capable of providing accurate result. This can lead to biasness with evaluation and the employees may get dissatisfied outcomes in which they feel not justifiable enough. Therefore, an advanced system for employee evaluation system is proposed which evaluates performance of the employee and provide accurate result using the hybrid algorithm (Naïve Bayes, ID3 and Linear Regression). The aim of this paper is to compare accuracy of ID3 and hybrid algorithm for given dataset.

Key Words

Employee Performance Appraisal System, Machine Learning, Hybrid Algorithm

Cite This Article

" Employee Performance Appraisal System Using Hybrid algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.233-237, May 2019, Available :http://www.jetir.org/papers/JETIRCS06052.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

" Employee Performance Appraisal System Using Hybrid algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp233-237, May 2019, Available at : http://www.jetir.org/papers/JETIRCS06052.pdf

Publication Details

Published Paper ID: JETIRCS06052
Registration ID: 211815
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 233-237
Country: -, --, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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