Potential data mining classification techniques for academic talent forecasting

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

3 Citations (Scopus)

Abstract

Classification and prediction are among the major techniques in Data mining and widely used in various fields. In this article we present a study on how some talent management problems can be solved using classification and prediction techniques in Data mining. By using this approach, the talent performance can be predicted by using past experience knowledge discovered from the existing database. In the experimental phase, we have used selected classification and prediction techniques to propose the appropriate techniques from our training dataset. An example is used to demonstrate the feasibility of the suggested classification techniques using academician performance data. Thus, by using the experiments results, we suggest the potential classification techniques for academic talent forecasting.

Original languageEnglish
Title of host publicationISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications
Pages1173-1178
Number of pages6
DOIs
Publication statusPublished - 2009
Event9th International Conference on Intelligent Systems Design and Applications, ISDA 2009 - Pisa
Duration: 30 Nov 20092 Dec 2009

Other

Other9th International Conference on Intelligent Systems Design and Applications, ISDA 2009
CityPisa
Period30/11/092/12/09

Fingerprint

Data mining
Experiments

Keywords

  • Academic talent
  • And forecasting
  • Classification techniques
  • Data mining

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Signal Processing
  • Software

Cite this

Jantan, H., Hamdan, A. R., & Ali Othman, Z. (2009). Potential data mining classification techniques for academic talent forecasting. In ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications (pp. 1173-1178). [5364167] https://doi.org/10.1109/ISDA.2009.64

Potential data mining classification techniques for academic talent forecasting. / Jantan, Hamidah; Hamdan, Abdul Razak; Ali Othman, Zulaiha.

ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications. 2009. p. 1173-1178 5364167.

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

Jantan, H, Hamdan, AR & Ali Othman, Z 2009, Potential data mining classification techniques for academic talent forecasting. in ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications., 5364167, pp. 1173-1178, 9th International Conference on Intelligent Systems Design and Applications, ISDA 2009, Pisa, 30/11/09. https://doi.org/10.1109/ISDA.2009.64
Jantan H, Hamdan AR, Ali Othman Z. Potential data mining classification techniques for academic talent forecasting. In ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications. 2009. p. 1173-1178. 5364167 https://doi.org/10.1109/ISDA.2009.64
Jantan, Hamidah ; Hamdan, Abdul Razak ; Ali Othman, Zulaiha. / Potential data mining classification techniques for academic talent forecasting. ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications. 2009. pp. 1173-1178
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