Abstract
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. © Springer-Verlag Berlin Heidelberg 2004.
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CITATION STYLE
Hirano, S., & Tsumoto, S. (2004). Finding interesting pass patterns from soccer game records. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3202, 209–218. https://doi.org/10.1007/978-3-540-30116-5_21
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