Mining top-\(k\) high utility patterns over data streams

DOI10.1016/j.ins.2014.01.045zbMath1355.68237OpenAlexW1966426226MaRDI QIDQ508685

Morteza Zihayat, Aijun An

Publication date: 7 February 2017

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2014.01.045

zbMATH Keywords

sliding windowdata streamhigh utility pattern miningtop-\(k\) pattern mining

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (4)

Summarization and visualization of multi-level and multi-dimensional itemsets ⋮ Opportunistic mining of top-\(n\) high utility patterns ⋮ Efficiently mining uncertain high-utility itemsets ⋮ Narrow big data in a stream: computational limitations and regression

Uses Software

• UCI-ml
• Minebench

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