On mining complex sequential data by means of FCA and pattern structures

DOI10.1080/03081079.2015.1072925zbMath1365.68412arXiv1504.02255OpenAlexW2221985475WikidataQ99455694 ScholiaQ99455694MaRDI QIDQ2817080

Aleksey Buzmakov, Chedy Raïssi, Sergei O. Kuznetsov, Amedeo Napoli, Elias Egho, Nicolas Jay

Publication date: 29 August 2016

Published in: International Journal of General Systems (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1504.02255

zbMATH Keywords

projectionssequencesdata miningformal concept analysissequential datapattern structures

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Knowledge representation (68T30)

Related Items (2)

\textsc{RCA-seq}: an original approach for enhancing the analysis of sequential data based on hierarchies of multilevel closed partially-ordered patterns ⋮ Steps towards causal Formal Concept Analysis

Cites Work

• On stability of a formal concept
• Sequential pattern mining -- approaches and algorithms
• ON SUCCINCT REPRESENTATION OF KNOWLEDGE COMMUNITY TAXONOMIES WITH FORMAL CONCEPT ANALYSIS
• The Efficient Computation of Complete and Concise Substring Scales with Suffix Trees
• SPADE: An efficient algorithm for mining frequent sequences

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