REVIEW ARTICLE
Application Research of Decision Tree Algorithm in Sports Grade Analysis
Zhu Lini*
Xi'an Physical Education University 710068, Shaanxi, China
Article Information
Identifiers and Pagination:
Year: 2015Volume: 9
First Page: 1097
Last Page: 1102
Publisher Id: TOMEJ-9-1097
DOI: 10.2174/1874155X01509011097
Article History:
Received Date: 26/05/2015Revision Received Date: 14/07/2015
Acceptance Date: 10/08/2015
Electronic publication date: 9/11/2015
Collection year: 2015
© 2015 Zhu Lini
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
This paper introduces and analyses the data mining in the management of students' sports grades. We use the decision tree in analysis of grades and investigate attribute selection measure including data cleaning. We take sports course score of some university for example and produce decision tree using ID3 algorithm which gives the detailed calculation process. Because the original algorithm lacks termination condition, we propose an improved algorithm which can help us to find the latency factor which impacts the sports grades.
Keywords: Classification, decision tree algorithm, ID3 algorithm, sports grade analysis.