Abstract
Managing an organization’s talents, especially in assigning the right person to the right job at the right time is among the top challenge for Human Resource (HR) professionals. This article presents an overview of talent management problems that can be solved by using classification and prediction method in Data mining. In this study, talent’s performance can be predicted by using past experience knowledge in HR databases. For experiment purposes, we used the possible classification and prediction techniques in order to find out the suitable techniques for HR data. An example demonstrates the feasibility of the suggested classification techniques using selected employee’s performance data. Finally, the initial experiment results show the potential classification techniques for talent forecasting in Human Resource Management (HRM).
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References
Ranjan, J.: Data Mining Techniques for better decisions in Human Resource Management Systems. International Journal of Business Information Systems 3, 464–481 (2008)
Chien, C.F., Chen, L.F.: Data mining to improve personnel selection and enhance human capital: A case study in high-technology industry. Expert Systems and Applications 34, 280–290 (2008)
DeNisi, A.S., Griffin, R.W.: Human Resource Management. Houghton Mifflin Company, New York (2005)
A TP Track Research Report Talent Management: A State of the Art. Tower Perrin HR Services (2005)
Tso, G.K.F., Yau, K.K.W.: Predicting electricity energy consumption: A comparison of regression analysis, decision tree and neural networks. Energy 32, 1761–1768 (2007)
Han, J., Kamber, M.: Data Mining: Concepts and Techniques. Morgan Kaufmann Publisher, San Francisco (2006)
Hamidah, J., Razak, H.A., Zulaiha, A.O.: Data Mining Techniques for Performance Prediction in Human Resource Application. In: 1st Seminar on Data Mining and Optimization, pp. 41–49. FTSM UKM, Bangi (2008)
Lynne, M.: Talent Management Value Imperatives: Strategies for Execution. In: The Conference Board (2005)
Cubbingham, I.: Talent Management: Making it real. Development and Learning in Organizations 21, 4–6 (2007)
CHINA UPDATE: HR News for Your Organization: The Tower Perrin Asia Talent Management Study (2007)
Witten, I.H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann Publishers, San Francisco (2005)
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Jantan, H., Hamdan, A.R., Othman, Z.A. (2009). Classification Techniques for Talent Forecasting in Human Resource Management. In: Huang, R., Yang, Q., Pei, J., Gama, J., Meng, X., Li, X. (eds) Advanced Data Mining and Applications. ADMA 2009. Lecture Notes in Computer Science(), vol 5678. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03348-3_49
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DOI: https://doi.org/10.1007/978-3-642-03348-3_49
Publisher Name: Springer, Berlin, Heidelberg
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