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Survey on Genetic Algorithm for Predicting Employees Performance

Author(s):

Prachi Bhupesh Chikte , Priyadarshini Bhagwati College of Engineering Nagpur; Mrs. A. A. Nikose, Priyadarshini Bhagwati College of Engineering Nagpur

Keywords:

Genetic Algorithm, Employees Performance

Abstract

The relevant information can be originated through data mining process. In data mining, classification is one of the major tasks to impart knowledge from huge amount of data. This technique is widely used in various fields. Human capital is of a high concern for companies’ management where their most interest is in hiring the highly qualified personnel which are expected to perform highly as well. Recently, there has been a growing interest in the data mining area, where the objective is the discovery of knowledge that is correct and of high benefit for users. This paper presents a study on the implementation of data mining approach using genetic algorithm for employee progression regarding to their exceeding performance in future. By using this approach, the performance patterns can be discovered from the existing database and will be used for future performance prediction in their career development.

Other Details

Paper ID: IJSRDV4I41164
Published in: Volume : 4, Issue : 4
Publication Date: 01/07/2016
Page(s): 1423-1424

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