Mining frequent closed itemsets from a landmark window over online data streams

DOI10.1016/J.CAMWA.2008.10.060zbMath1186.68379OpenAlexW2080042412MaRDI QIDQ971570

Ping Hu, Jihong Guan, XueJun Liu

Publication date: 16 May 2010

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

Full work available at URL: https://doi.org/10.1016/j.camwa.2008.10.060

zbMATH Keywords

data miningdata streamsfrequent closed itemslandmark window

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (4)

Applications of monitoring and tracing the evolution of clustering solutions in dynamic datasets ⋮ A precise statistical approach for concept change detection in unlabeled data streams ⋮ CP-tree: an adaptive synopsis structure for compressing frequent itemsets over online data streams ⋮ Effective approximation of parametrized closure systems over transactional data streams

Cites Work

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