MARBLES: Mining association rules buried in long event sequences

DOI10.1002/sam.11199OpenAlexW2041665683MaRDI QIDQ4969928

Bart Goethals, Nikolaj Tatti, Boris Cule

Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/sam.11199

zbMATH Keywords

association rulessequential dataclosed patternsepisodesconfidence boost

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Related Items (1)

Efficiently mining cohesion-based patterns and rules in event sequences

Uses Software

• CloSpan
• BIDE

Cites Work

• Mining closed strict episodes

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