Decision Tree-Based Selecting Talents Schema

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Abstract:

Conventional model in selecting talents cannot satisfy the request for efficient selecting. In this paper, we study a mixture algorithm which is combined decision tree algorithm and analytic hierarchy process (AHP), named analytic hierarchy decision process (AHDP). It evaluates the performance of existing staff then assigns them into distinguished category, and combined the result of AHP method for each staff with corresponding employee information reforms a dataset to construct the decision tree. The motif of AHDP is an enhancement for reasonable prediction talents that enterprise expected.

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2823-2827

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November 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Bhushan, Navneet; KanwalRai (January 2004). "Strategic Decision Making: Applying theAnalyticHierarchy Process". London: Springer-Verlag.

Google Scholar

[2] Bunkley, Nick (March 3, 2008), "Joseph Juran, 103, Pioneer in Quality Control, Dies", New York Times

Google Scholar

[3] Quinlan, J. R. C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, 1993.

Google Scholar

[4] Quinlan, J. R. 1986. Induction of Decision Trees. Mach. Learn. 1, 1 (Mar. 1986), 81-106.

DOI: 10.1007/bf00116251

Google Scholar

[5] Mitchell, Tom M. Machine Learning. McGraw-Hill, 1997. pp.55-58.

Google Scholar

[6] Xiaodong Wu,Kumar, Vipin(15 Jan 2009)."The Top Ten Algorithms in Data Mining" [M].

Google Scholar

[7] Shannon, Claude E. (July/October 1948). "A Mathematical Theory of Communication". Bell System Technical Journal27 (3): 379–423.

Google Scholar