MAX-FISM: mining (recently) maximal frequent itemsets over data streams using the sliding window model

DOI10.1016/j.camwa.2012.01.045zbMath1268.68071OpenAlexW1983035395MaRDI QIDQ356030

Nick Cercone, Zahra Farzanyar, Mohammadreza Kangavari

Publication date: 25 July 2013

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2012.01.045

zbMATH Keywords

data miningdata streammaximal frequent itemset (MFI)single-pass algorithmssliding windows

Mathematics Subject Classification ID

Database theory (68P15) Pattern recognition, speech recognition (68T10)

Related Items (3)

P2P-FISM: mining (recently) frequent item sets from distributed data streams over P2P network ⋮ Adaptive fuzzy partitions for evolving association rules in big data stream ⋮ MAX-FISM

Uses Software

• CLOSET

Cites Work

• Unnamed Item

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