Comparing data mining approach and regression method in determining factors affecting the selection of human resources

Mohammad Vahid SEBT, Hormoz YOUSEFI
1.950 358


Abstract. Appropriate selection of human resources especially human-centered and service organizations has a direct impact on the delivery of products and services of that organization. So far, a variety of methods have been provided by management experts to select people in organizations. One of these methods is using historical data to apply in future selections. Data mining as an effective knowledge has been considered less in this field and generally, it has been limited to simple statistical methods in this regard. In this regard and in this paper, the decision tree technique algorithms as one of the most effective techniques of data mining have been used in addition to use recruitment test database of a commercial bank to investigate the factors that affect the performance and promotion of human resources and compare their results with statistical methods. One of the obtained results is removing the performance assessment variable as the target variable in the data mining method which is due to the lack of precision in the process of evaluating the studied institution's performance assessment. This result is obtained when there is a relationship between performance assessment and at least two variables, according to the regression method. Also, in this research it was indicated that 5 variables of "test total score", "interview score", "educational level", "professional experience", and "province of service site" are effective on improving the volunteers among 26 studied variables. These results have led to the knowledge which has been explained by the experts and converted in the form of recommendations for banks.


Selection of human resources, data mining, knowledge discovery, decision tree, regression

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Anderson, A. Effective Personnel Management: A Skills and Activity- based Approach. Oxford: Blackwell Business, 1994.

Beardwell, I., L. Holden, and T. Claydon. Human Resource Management. Harlow: FT/Prentice Hall, 2004.

Berry, Michael J. A., and Gordon S. Linoff. Data Mining Techniques for Marketing Sales and Customer Relationship Management. 2 Ed. John.Wiley.&.Sons. Publishing Inc., 2004.

Chien, Chen-Fu, and Li-Fei Chen. "Data Mining To Improve Personnel Selection and Enhance Human Capital: A Case Study in High-Technology Industry." Expert Systems With Applications 34 (2007): Pp. 280–290.

Cowling, A., and C. Mailer. Managing Human Resources. 2nd Edition. London: Edward Arnold, 1990.

Daniel, T., and John Larose. Discovery Knowledge In Data, An Introduction To Data Mining. Wiley Interscience, 2005.

Daniel, T., and John Larose. Data Mining Methods And Models. Wiley & Sons Publishing Inc., 2006 [8] Denker, Robert. Audites For Human Resource Applications. 2000. Http://www.Wizsoft.Com/App4-Wr.Html.

Hand, David, Heikki Mannila, and Padhraic Smyth. "Principles of Data Mining." The MIT Press, 2001.

Hoffmann, Carl C. Decision Support & Data Warehousing in Human Resource. 1998. Http://www.Cob.Vt.Edu/Mgmt/Carlson/AHRIS/Ihrim.Ppt.

Howeedy, Rodney. First Door Uses Web Trends to Create a Human Resource Database. 2002. Http://www.Dmreview.Com/DM Review First Door Uses Web Trends To Create A Human Resource.Htm/ DM Review Magazin Article.

Mendonca, M., and N. L. Sunderhaft. Mining Software Engineering Data Survey. 1999. www.Dacs.Ditc.Mil/Techs/Datamining/Index.Html

Olson, David L. Data Mining. 2002. Http://www.Ait.Unl.Edu/Dolson/Datamining.ppt.

Porter, K., P. Smith, and R. Fagg. Leadership and Management for HR Professionals. Oxford: Butterworth Heinemann, 2006.

SAS Institute Inc. 2001. http://www.Sas.Com

Schroeck, Michael J. DW In Human Resource Management Systems. 1999. http://www.Dmreview.Com/DM Review Insights From The Front Line DW In Human Resource.Htm/ DM Review Magazin Article. [17] Spss

Inc.Effectively Manage Human

http://www.Spss.Com/Applications/Goverment/Human_Resource_Planning.Htm. Resource Using Data Mining. 2004.

Smith, K. "Personnel Selecion Research." International Journal of Organizational and Occupational Psychology Vol.2 (2002): pp. 441- 472.

Weiss, S. M., and N. Indurkhya. Predictive Data Mining: A Practical Guide. Morgan Kaufmann, 1998.