Human talent forecasting
References
- ADP Research Institute: Harnessing Big Data: The Human Capital Management Journey to Achieving Business Growth – ADP Global Human Capital Management Decision Makers Survey, 2015.
- Bloomberg Businessweek, September 13 – September 19, 2010 issue, 54.
- Chien, C.F., & Chen, L.F. (2008). Data mining to improve personnel selection and enhance human capital: A case study in high-technology industry. Expert Systems and Applications, 34(1), 380-290.
- 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. Paper presented at the Paper in The 9th IEEE International Conference on E-Commerce Technology and The 4th IEEE International Conference on Enterprise Computing, E-Commerce and Eservices (CEC-EEE 2007).
- Elizabeth G. Chambers, Mark Fouldon, Helen Handfield-Jones, Steven M. Hankin, Edward G. Michaels III 1998, The War for Talent.
- Han, J. & Kamber, M. (2001). Data mining: concepts and techniques (Morgan-Kaufman Series of Data Management Systems), Academic Press, San Diego.
- Huang, M.J., Tsou, Y.L., & Lee, S.C. (2006). Integrating fuzzy data mining and fuzzy artificial neural networks for discovering implicit knowledge. Knowledge-Based Systems, 19(6), 396-403.
- Ranjan, J. (2008). Data Mining Techniques for better decisions in Human Resource Management Systems. International Journal of Business Information Systems, 3(5), 464-481.
- Tai, W.S., & Hsu, C.C. (2005). A Realistic Personnel Selection Tool Based on Fuzzy Data Mining Method. Retrieved from www.atlantispress.com/php/download_papaer?id=46, 9/1/2008.
- Tung, K.Y., Huang, I.C., Chen, S.L., & Shih, C.T. (2005). Mining the Generation Xer’s job attitudes by artificial neural network and decision tree - empirical evidence in Taiwan. Expert Systems and Applications, 29(4), 783-794.
- Tso, G.K.F., & Yau, K.K.W. (2007). Predicting electricity energy consumption: A comparison of regression analysis, decision tree and neural networks. Energy, 32, 1761-1768.
- Zhao, X. (2008). An Empirical Study of Data Mining in Performance Evaluation of HRM. Paper presented at the International Symposium on Intelligent Information Technology Application Workshops, Hangzhou, China.
DOI: https://doi.org/10.1515/picbe-2017-0047 | Journal eISSN: 2558-9652
Language: English
Page range: 437 - 447
Published on: Aug 26, 2017
Published by: Bucharest University of Economic Studies
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year
Keywords:
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© 2017 Bogdan Nedelcu, published by Bucharest University of Economic Studies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.