UGC Approved Journal no 63975(19)

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

Volume 7 Issue 12
December-2020
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2012048


Registration ID:
303967

Page Number

340-343

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Title

Employee Performance Prediction System

Abstract

Abstract – An Employee is an asset to any organisation of any level. Knowing the worth of employee which could be helpful in maintaining the level of knowledge and employee’s performance are very crucial. Level of knowledge here means the improvement in certain area / how to upgrade the existing performance. Each of the employee would get analyzed as per his previous knowledge ratings and this tool could give predictions based on the analysis in order to upgrade the level of knowledge/ any improvement areas. It is a good approach to know their performance in each area so that one can know better about their lacking or improvement areas by no delay. With the help of that they can focus on improving the qualities needed in employee which then in return improves employee’s knowledge stack.

Key Words

Ratings Analysis, Performance Prediction, Classifier model for Need to improve/Stable/Good areas

Cite This Article

"Employee Performance Prediction System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 12, page no.340-343, December-2020, Available :http://www.jetir.org/papers/JETIR2012048.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 Prediction System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 12, page no. pp340-343, December-2020, Available at : http://www.jetir.org/papers/JETIR2012048.pdf

Publication Details

Published Paper ID: JETIR2012048
Registration ID: 303967
Published In: Volume 7 | Issue 12 | Year December-2020
DOI (Digital Object Identifier):
Page No: 340-343
Country: Aurangabad (MH), Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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