Constructing a web-based employee training expert system with data mining approach

Kuang Ku Chen; Mu Yen Chen; Hui Ju Wu; Yi Lung Lee

doi:10.1109/CEC-EEE.2007.35

Constructing a web-based employee training expert system with data mining approach

Kuang Ku Chen, Mu Yen Chen, Hui Ju Wu, Yi Lung Lee

Department of Engineering Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

Abstract

Knowledge Management (KM) is an important strategy in business management and competition in 21st century. Companies must manage their valuable knowledge and experience more aggressively to enhance competitive advantage and human resource management (HRM). In this paper, we present a web-based training system named ETES - Employee Training Expert System and the methodologies of its implementation. ETES applied rule-based expert system technology to infer the learning type for employees. Moreover, ETES uses association rule mining to find training strategies and learning map for personal learning. Besides, ETES provides different training materials for employees according to their learning aptitudes, records and occupations. The system has been tested and is now in pilot use by Teraauto Corporation which is a high-profits listed securities company in Taiwan.

Original language	English
Title of host publication	Proceedings - The 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007
Pages	659-664
Number of pages	6
DOIs	https://doi.org/10.1109/CEC-EEE.2007.35
Publication status	Published - 2007
Event	9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007 - Tokyo, Japan Duration: 2007 Jul 23 → 2007 Jul 26

Publication series

Name	Proceedings - The 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007

Conference

Conference	9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007
Country/Territory	Japan
City	Tokyo
Period	07-07-23 → 07-07-26

All Science Journal Classification (ASJC) codes

Computer Science(all)
Computer Networks and Communications

Access to Document

10.1109/CEC-EEE.2007.35

Cite this

Chen, K. K., Chen, M. Y., Wu, H. J., & Lee, Y. L. (2007). Constructing a web-based employee training expert system with data mining approach. In Proceedings - The 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007 (pp. 659-664). [4285283] (Proceedings - The 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007). https://doi.org/10.1109/CEC-EEE.2007.35

Chen, Kuang Ku ; Chen, Mu Yen ; Wu, Hui Ju et al. / Constructing a web-based employee training expert system with data mining approach. Proceedings - The 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007. 2007. pp. 659-664 (Proceedings - The 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007).

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title = "Constructing a web-based employee training expert system with data mining approach",

abstract = "Knowledge Management (KM) is an important strategy in business management and competition in 21st century. Companies must manage their valuable knowledge and experience more aggressively to enhance competitive advantage and human resource management (HRM). In this paper, we present a web-based training system named ETES - Employee Training Expert System and the methodologies of its implementation. ETES applied rule-based expert system technology to infer the learning type for employees. Moreover, ETES uses association rule mining to find training strategies and learning map for personal learning. Besides, ETES provides different training materials for employees according to their learning aptitudes, records and occupations. The system has been tested and is now in pilot use by Teraauto Corporation which is a high-profits listed securities company in Taiwan.",

author = "Chen, {Kuang Ku} and Chen, {Mu Yen} and Wu, {Hui Ju} and Lee, {Yi Lung}",

note = "Copyright: Copyright 2011 Elsevier B.V., All rights reserved.; 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007 ; Conference date: 23-07-2007 Through 26-07-2007",

year = "2007",

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language = "English",

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series = "Proceedings - The 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007",

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Chen, KK, Chen, MY, Wu, HJ & Lee, YL 2007, Constructing a web-based employee training expert system with data mining approach. in Proceedings - The 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007., 4285283, Proceedings - The 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007, pp. 659-664, 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007, Tokyo, Japan, 07-07-23. https://doi.org/10.1109/CEC-EEE.2007.35

Constructing a web-based employee training expert system with data mining approach. / Chen, Kuang Ku; Chen, Mu Yen; Wu, Hui Ju et al.

Proceedings - The 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007. 2007. p. 659-664 4285283 (Proceedings - The 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - Knowledge Management (KM) is an important strategy in business management and competition in 21st century. Companies must manage their valuable knowledge and experience more aggressively to enhance competitive advantage and human resource management (HRM). In this paper, we present a web-based training system named ETES - Employee Training Expert System and the methodologies of its implementation. ETES applied rule-based expert system technology to infer the learning type for employees. Moreover, ETES uses association rule mining to find training strategies and learning map for personal learning. Besides, ETES provides different training materials for employees according to their learning aptitudes, records and occupations. The system has been tested and is now in pilot use by Teraauto Corporation which is a high-profits listed securities company in Taiwan.

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Chen KK, Chen MY, Wu HJ, Lee YL. Constructing a web-based employee training expert system with data mining approach. In Proceedings - The 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007. 2007. p. 659-664. 4285283. (Proceedings - The 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007). doi: 10.1109/CEC-EEE.2007.35

Constructing a web-based employee training expert system with data mining approach

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