Title: Construction of evaluation system of sports talent training scheme based on data mining

Authors: Gong Xun; Lin Suxia

Addresses: Heilongjiang Bayi Agricultural University, Daqing Heilongjiang, 163319, China ' Northeast Petroleum University, Daing Heilongjiang, 163319, China

Abstract: In order to improve the effectiveness of the evaluation system construction for sports talent training program, this paper puts forward a kind of evaluation system construction method for sports talent training program based on data mining. It provides the description target of sports talent training program, the problem that the upper bound of itemsets only used by the traditional mining algorithm has unsatisfactory effect on the high-expectation weight and downward closure property of mining algorithm in design hierarchy, and presents the proof process, and this property can effectively reduce the processing capacity of candidate set in the premise of ensuring the accuracy, to construct the two-stage data mining process. By comparing with the training program of 2007 version, the proposed method can eliminate the setting compulsory course equivalent to individual professional elective course, to promote the diverse development of students.

Keywords: two-stage; apriori algorithm; sports talent; training program.

DOI: 10.1504/IJRIS.2018.092216

International Journal of Reasoning-based Intelligent Systems, 2018 Vol.10 No.2, pp.128 - 133

Received: 27 Apr 2017
Accepted: 02 Jun 2017

Published online: 24 May 2018 *

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