\textsc{Para}\textsc{Miner}: a generic pattern mining algorithm for multi-core architectures

DOI10.1007/s10618-013-0313-2zbMath1294.68120OpenAlexW2110598277MaRDI QIDQ740594

Alexandre Termier, Benjamin Negrevergne, Marie-Christine Rousset, Jean-François Méhaut

Publication date: 3 September 2014

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10618-013-0313-2

zbMATH Keywords

data miningmulti-core architecturesclosed pattern miningparallel pattern mining

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10) Parallel algorithms in computer science (68W10) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items

Efficiently mining large gradual patterns using chunked storage layout, Extended dualization: application to maximal pattern mining, RQL: a query language for rule discovery in databases, Parallel algorithms for enumerating closed patterns from multi-relational data, Extensional Confluences and Local Closure Operators

Uses Software

• gSpan
• LCM

Cites Work

• LCM
• Itemset mining: a constraint programming perspective
• Listing closed sets of strongly accessible set systems with applications to data mining
• Unnamed Item