Extracting Hierarchies of Closed Partially-Ordered Patterns Using Relational Concept Analysis - researchr publication related

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Cristina Nica, Agnès Braud, Xavier Dolques, Marianne Huchard, Florence Le Ber. Extracting Hierarchies of Closed Partially-Ordered Patterns Using Relational Concept Analysis. In Ollivier Haemmerlé, Gem Stapleton, Catherine Faron-Zucker, editors, Graph-Based Representation and Reasoning - 22nd International Conference on Conceptual Structures, ICCS 2016, Annecy, France, July 5-7, 2016, Proceedings. Volume 9717 of Lecture Notes in Computer Science, pages 17-30, Springer, 2016. [doi]

The following publications are possibly variants of this publication:

Hierarchies of Weighted Closed Partially-Ordered Patterns for Enhancing Sequential Data AnalysisCristina Nica, Agnès Braud, Florence Le Ber. icfca 2017: 138-154 [doi]

FastRCA-Seq: An efficient approach for extracting hierarchies of multilevel closed partially-ordered patternsCristina Nica, Victor-Petru Almasan, Adrian Groza. kbs, 210:106533, 2020. [doi]

RCA-Seq: An original approach for enhancing the analysis of sequential data based on hierarchies of multilevel closed partially-ordered patternsCristina Nica, Agnès Braud, Florence Le Ber. DAM, 273:232-251, 2020. [doi]

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