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Efficient Temporal Pattern Mining in Big Time Series Using Mutual Information

Summary: Introduces FTPMfTS, a pipeline for mining temporal patterns from time series with event-time intervals. HTPGM enables fast pruning-based mining; an MI-based variant prunes unpromising series, delivering speedups with bounded accuracy. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12940
Venue
VLDB
Year
2022
Pagerank
5.8123636e-05
Overall Rank
4,947 | 65.59%
DOI
10.14778/3494124.3494147

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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
3,156 Mining Relationships Among Interval-based Events for Classification 2008 SIGMOD 7.4658495e-05
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