MCHT: A maximal clique and hash table-based maximal prevalent co-location pattern mining algorithm

•A novel maximal prevalent co-location pattern mining framework is presented.•The time and space costs are reduced efficiently by maximal cliques and hash tables.•Enumerating maximal cliques is accelerated by bit string operations.•The performance of the proposed method is proved by comparative expe...

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Veröffentlicht in:	Expert systems with applications 2021-08, Vol.175, p.114830, Article 114830
Hauptverfasser:	Tran, Vanha, Wang, Lizhen, Chen, Hongmei, Xiao, Qing
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Boolean algebra Computing time Data mining Datasets Hash table Maximal clique Maximal co-location pattern Model testing Pattern analysis Spatial data Spatial data mining
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