Classification techniques for talent forecasting in human resource management

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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).

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages496-503
Number of pages8
Volume5678 LNAI
DOIs
Publication statusPublished - 2009
Event5th International Conference on Advanced Data Mining and Applications, ADMA 2009 - Beijing
Duration: 17 Aug 200919 Aug 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5678 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other5th International Conference on Advanced Data Mining and Applications, ADMA 2009
CityBeijing
Period17/8/0919/8/09

Fingerprint

Human Resource Management
Human resource management
Human Resources
Forecasting
Personnel
Prediction
Experiment
Data mining
Data Mining
Person
Experiments
Demonstrate

Keywords

  • Classification
  • Human Resource Management
  • Prediction
  • Talent forecasting

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Jantan, H., Hamdan, A. R., & Ali Othman, Z. (2009). Classification techniques for talent forecasting in human resource management. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5678 LNAI, pp. 496-503). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5678 LNAI). https://doi.org/10.1007/978-3-642-03348-3_49

Classification techniques for talent forecasting in human resource management. / Jantan, Hamidah; Hamdan, Abdul Razak; Ali Othman, Zulaiha.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5678 LNAI 2009. p. 496-503 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5678 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Jantan, H, Hamdan, AR & Ali Othman, Z 2009, Classification techniques for talent forecasting in human resource management. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 5678 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5678 LNAI, pp. 496-503, 5th International Conference on Advanced Data Mining and Applications, ADMA 2009, Beijing, 17/8/09. https://doi.org/10.1007/978-3-642-03348-3_49
Jantan H, Hamdan AR, Ali Othman Z. Classification techniques for talent forecasting in human resource management. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5678 LNAI. 2009. p. 496-503. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-03348-3_49
Jantan, Hamidah ; Hamdan, Abdul Razak ; Ali Othman, Zulaiha. / Classification techniques for talent forecasting in human resource management. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5678 LNAI 2009. pp. 496-503 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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