DocumentCode :
2250359
Title :
Determination of basketball types with grey analysis
Author :
Lin, Che-chern ; Lin, Jia-fei ; Yu, Cheng-chung ; Lee, Tean-quay
Author_Institution :
Dept. Ind. Technol. Educ., Nat. Kaohsiung Normal Univ., Kaohsiung, Taiwan
Volume :
6
fYear :
2010
fDate :
11-14 July 2010
Firstpage :
2898
Lastpage :
2903
Abstract :
Pattern recognition techniques have been widely used in many areas such as engineering, science, medicine, management, education, etc. However, they are seldom utilized in sport science. This paper is an inter-discipline study applying pattern recognition technology in sport area where a grey analysis technique is utilized to classify the types of basketball teams. We first introduce the procedure of grey analysis and some background on basketball. We conduct an experiment to classify basketball teams into three types including Center-scoring, 3-pointer-scoring, and Defense-oriented. In the experiment, fourteen basketball statistic items are used as the attributes for the grey analysis. We use the team statistics from a regional college league in Taiwan as samples. Eighteen universities and colleges are involved in the experiment. The target sequence of the grey analysis is established by interviewing a college basketball coach. The results of the experiment can be used as the information for basketball coaches to help them make their defense and/or offensive strategies.
Keywords :
grey systems; pattern classification; sport; Taiwan regional college league; basketball team type classification; basketball type determination; classify; colleges; grey analysis; pattern recognition; sport science; universities; Biological system modeling; Classification algorithms; Correlation; Cybernetics; Educational institutions; Expert systems; Machine learning; Basketball type; Grey analysis; Grey correlation; Pattern recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
Type :
conf
DOI :
10.1109/ICMLC.2010.5580779
Filename :
5580779
Link To Document :
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