Mining Frequent Infix Patterns from Concurrency-Aware Process Execution Variants

Summary: Reduce frequent-pattern mining over concurrency-aware variants—variants modeling partially ordered, overlapping activities—to frequent subtree mining. Present a tailored algorithm that outperforms a state-of-the-art frequent-subtree miner on real-world event logs. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 13111
Venue: VLDB
Year: 2023
Pagerank: 4.1945683e-05
Overall Rank: 11,246 | 21.77%
DOI: 10.14778/3603581.3603603

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
36	Fast Algorithms for Mining Association Rules	1994	VLDB	0.00076161096

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