Analyzing Personality Behavior at Work Environment Using Data Mining Techniques
American Journal of Software Engineering and Applications
Volume 5, Issue 3-1, May 2016, Pages: 20-24
Received: Sep. 12, 2016; Accepted: Sep. 17, 2016; Published: Oct. 20, 2016
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Authors
Sepideh Ahmadi Maldeh, Faculty of Computer Engineering, Islamic Azad University, Islamshahr Branch, Terhan, Iran
Fateme Safara, Faculty of Computer Engineering, Islamic Azad University, Islamshahr Branch, Terhan, Iran
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Abstract
Character is the influencing factor of human behavior. This research aims to analyze the relationship between different types of characters. The statistical society sample for this study is the employees of the Iran Mahd Parta Pajhohan technical complex. Two hundred employees have been divided into four clusters including: Type D (Dominant), Type I (Influential), Type S (Steady) and Type C (Conscientious). The analysis of the data has taken place at two levels, which are known as descriptive and inferential statistics. K means algorithm has been used to cluster employees, and as a result, most of the employees are DC personality types. The results help in improving the operation of the organizations as well as leading a healthy relationship between employees.
Keywords
Character, Employee, Data Mining, Clustering, Kmeans
To cite this article
Sepideh Ahmadi Maldeh, Fateme Safara, Analyzing Personality Behavior at Work Environment Using Data Mining Techniques, American Journal of Software Engineering and Applications. Special Issue: Advances in Computer Science and Information Technology in Developing Countries. Vol. 5, No. 3-1, 2016, pp. 20-24. doi: 10.11648/j.ajsea.s.2016050301.15
Copyright
Copyright © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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