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20162026
most citedSupervised sequential pattern mining of event sequences in sport to identify important patterns of play: an application to rugby union

15 citations · 34 across the 17 of their papers we have counts for

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Showing 2020Show all

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cs.LG2020★ 15 cited

Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: an application to rugby union

Rory Bunker, Keisuke Fujii, Hiroyuki Hanada +1

Given a set of sequences comprised of time-ordered events, sequential pattern mining is useful to identify frequent subsequences from different sequences or within the same sequenc…