Algorithms for Effective Team Building

Ivanovska, S. and Ivanoska, I. and Kalajdziski, Slobodan (2013) Algorithms for Effective Team Building. In: Proceedings of the Tenth Conference on Informatics and Information Technology. Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Macedonia, Skopje, Macedonia, pp. 80-84. ISBN 978-608-4699-01-9

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Abstract

Effective team building is an important issue of human resource management (HRM). In order to keep up with technological improvements and changes, selecting the right person for the right job position is very important. This paper describes a research and development methodology for establishing a more sophisticated approach for composing effective teams. Data mining (DM) techniques and algorithms, like decision trees, Bayesian networks and fuzzy logic, were utilized to build a model to predict the best possible person for a specific job. We have applied K-means and fuzzy C-means clustering and decision tree classification algorithms. Pruned and unpruned trees were contributed using ID3, C4.5 and CART algorithms. By using these techniques, the patterns of employee performance were generated. To validate the generated model, several experiments were conducted using data collected from IT companies. After evaluation, the most appropriate algorithms are recommended to be used in the process of effective team building.

Item Type: Book Section
Subjects: International Conference on Informatics and Information Technologies > Intelligent Systems
International Conference on Informatics and Information Technologies > Robotics
International Conference on Informatics and Information Technologies > Bioinformatics
Depositing User: Vangel Ajanovski
Date Deposited: 28 Oct 2016 00:15
Last Modified: 28 Oct 2016 00:15
URI: http://eprints.finki.ukim.mk/id/eprint/11260

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