UGC Approved Journal no 63975(19)

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

Volume 6 Issue 6
June-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

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Published Paper ID:
JETIR1906C08


Registration ID:
213887

Page Number

43-45

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Title

Employee Performance Evaluation Using Data Mining Techniques

Abstract

The strength of any organization is depend on the Employees performance. The evaluation of employee is the most important function of the HR. Evaluation of employee is a continuous process of measuring employee performance against the company’s goal. The effective evaluation system of employee performance are help to take decision like development of employee, training, promotion and behavioural aspect. For this purpose we build classification model to predict the employee performance by adopting the technologies Like J48 decision tree, SVM and Naïve Bayes Classification technique.

Key Words

SVM,J48,Decision, Prediction

Cite This Article

"Employee Performance Evaluation Using Data Mining Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.43-45, June-2019, Available :http://www.jetir.org/papers/JETIR1906C08.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 Evaluation Using Data Mining Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp43-45, June-2019, Available at : http://www.jetir.org/papers/JETIR1906C08.pdf

Publication Details

Published Paper ID: JETIR1906C08
Registration ID: 213887
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 43-45
Country: PUNE, MAHARASHTRA, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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