Finding interesting pass patterns from soccer game records

被引：0

作者：

Hirano, S ^{[1
]}

Tsumoto, S ^{[1
]}

机构：

[1] Shimane Univ, Sch Med, Dept Med Informat, Izumo, Shimane 6938501, Japan

来源：

KNOWLEDGE DISCOVERY IN DATABASES: PKDD 2004, PROCEEDINGS | 2004年 / 3202卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a novel method for finding interesting pass patterns from soccer game records. Taking two features of the pass sequence - temporal irregularity and requirements for multiscale observation - into account, we have developed a comparison method of the sequences based on multiscale matching. The method can be used with hierarchical clustering, that brings us a new style of data mining in sports data. Experimental results on 64 game records of FIFA world cup 2002 demonstrated that the method could discover some interesting pass patterns that may be associated with successful goals.

引用

页码：209 / 218

页数：10

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