CP-tree: an adaptive synopsis structure for compressing frequent itemsets over online data streams

DOI10.1016/j.ins.2014.03.074zbMath1354.68075OpenAlexW2023511088MaRDI QIDQ506760

Won Suk Lee, Se Jung Shin, Dae Su Lee

Publication date: 2 February 2017

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

Full work available at URL: https://doi.org/10.1016/j.ins.2014.03.074

zbMATH Keywords

data miningdata streamstream data miningfrequent itemsetfrequent itemset compression

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Coding and information theory (compaction, compression, models of communication, encoding schemes, etc.) (aspects in computer science) (68P30)

Uses Software

• CLOSET

Cites Work

• Evolving fuzzy systems -- methodologies, advanced concepts and applications.
• Mining frequent closed itemsets from a landmark window over online data streams
• Knowledge Discovery from Data Streams
• Learning in Non-Stationary Environments
• Unnamed Item
• Unnamed Item
• Unnamed Item

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