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Applying data mining classification techniques for employee’s performance prediction


Jantan, Hamidah and Puteh, Mazidah and Hamdan, Abdul Razak and Ali Othman, Zulaiha (2010) Applying data mining classification techniques for employee’s performance prediction. In: Knowledge Management International Conference 2010 (KMICe2010), 25-27 May 2010, Kuala Terengganu, Malaysia.

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Abstract

The valuable knowledge can be discovered 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, but it has not attracted much attention in Human Resource Management (HRM). This article presents a study on the implementation of data mining approach for employee development regarding to their future performance.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. In the experimental phase, we have used selected classification techniques to propose the appropriate technique for the dataset. An experiment is carried out to demonstrate the feasibility of the suggested classification techniques using employee’s performance data. Thus, the experiment results, we suggest the potential classification techniques and the possible prediction model for employee’s performance forecasting.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN 978-983-2078-40-1 Organized by: UUM College Art & Sciences, Unversiti Utara Malaysia
Uncontrolled Keywords: Data Mining, classification techniques, employee’s performance, prediction.
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions: College of Arts and Sciences
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 05 Jun 2014 00:33
Last Modified: 05 Jun 2014 00:33
URI: http://repo.uum.edu.my/id/eprint/11231

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