Talent knowledge acquisition using data mining classification techniques

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

4 Citations (Scopus)

Abstract

Data Mining classification task is categorized as a part of knowledge acquisition process, which can be implemented through the analysis procedure in related databases. In this study, we aimed to employ this technique to perform talent knowledge acquisition process in Human Resource (HR) by using talent databases. In HR, among the challenges of HR professionals is to manage organization's talents, especially to ensure the right person assign to the right job at the right time. In this case, knowledge discovered from talent knowledge acquisition process can be used by professionals in HR to handle various tasks in talent management. In this article, we present an experimental study to identify the potential data mining classification technique for talent knowledge acquisition. Talent knowledge discovered from related databases can be used to classify the appropriate talent among employees. In experimental phase, we used selected classification algorithms in order to propose the suitable classifier from talent datasets. As a result, the C4.5 classifier algorithm from decision tree family is recommended as a suitable classifier for the datasets. Classification model performed by this classifier can be used in talent management especially for talent classification or prediction.

Original languageEnglish
Title of host publicationConference on Data Mining and Optimization
Pages32-37
Number of pages6
DOIs
Publication statusPublished - 2011
Event2011 3rd Conference on Data Mining and Optimization, DMO 2011 - Putrajaya
Duration: 28 Jun 201129 Jun 2011

Other

Other2011 3rd Conference on Data Mining and Optimization, DMO 2011
CityPutrajaya
Period28/6/1129/6/11

Fingerprint

Knowledge acquisition
Data mining
Personnel
Classifiers
Decision trees

Keywords

  • Classification
  • Classifier Algorithm
  • Data Mining
  • Knowledge Acquisition
  • Talent Management

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Software

Cite this

Talent knowledge acquisition using data mining classification techniques. / Jantan, Hamidah; Hamdan, Abdul Razak; Ali Othman, Zulaiha.

Conference on Data Mining and Optimization. 2011. p. 32-37 5976501.

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

Jantan, H, Hamdan, AR & Ali Othman, Z 2011, Talent knowledge acquisition using data mining classification techniques. in Conference on Data Mining and Optimization., 5976501, pp. 32-37, 2011 3rd Conference on Data Mining and Optimization, DMO 2011, Putrajaya, 28/6/11. https://doi.org/10.1109/DMO.2011.5976501
Jantan, Hamidah ; Hamdan, Abdul Razak ; Ali Othman, Zulaiha. / Talent knowledge acquisition using data mining classification techniques. Conference on Data Mining and Optimization. 2011. pp. 32-37
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