RCA-Seq: An original approach for enhancing the analysis of sequential data based on hierarchies of multilevel closed partially-ordered patterns

Autor: Nica, Cristina, Braud, Agnès, Le Ber, Florence

Publikováno v: In Discrete Applied Mathematics 15 February 2020 273:232-251

RCA-Seq: An original approach for enhancing the analysis of sequential data based on hierarchies of multilevel closed partially-ordered patterns

Autor: Agnès Braud, Cristina Nica, Florence Le Ber

Publikováno v: Discrete Applied Mathematics
Discrete Applied Mathematics, 2020, 273, pp.232-251. ⟨10.1016/j.dam.2019.02.037⟩
Discrete Applied Mathematics, Elsevier, 2020, 273, pp.232-251. ⟨10.1016/j.dam.2019.02.037⟩

International audience; Methods for analysing sequential data generally produce a huge number of sequential patterns that have then to be evaluated and interpreted by domain experts. To diminish this number and thus the difficulty of the interpretati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84c77889736ec6cd453add808f6c8abf
https://doi.org/10.1016/j.dam.2019.02.037

FastRCA-Seq: An efficient approach for extracting hierarchies of multilevel closed partially-ordered patterns

Autor: Cristina Nica, Adrian Groza, Victor-Petru Almăşan

Publikováno v: Knowledge-Based Systems. 210:106533

Discovering concise representations of sequential patterns in sequential data is a well-established data mining task. Recently, Nica et al. have put forward an original approach RCA-Seq for directly extracting a hierarchy of multilevel closed partial

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0bed3faf6b815a6b5c1c17bba5a5b6d0
https://doi.org/10.1016/j.knosys.2020.106533

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

Autor: Florence Le Ber, Marianne Huchard, Agnès Braud, Xavier Dolques, Cristina Nica

Publikováno v: 22nd International Conference on Conceptual Structures
ICCS: International Conference on Conceptual Structures
ICCS: International Conference on Conceptual Structures, Jul 2016, Annecy, France. pp.17-30, ⟨10.1007/978-3-319-40985-6_2⟩
Graph-Based Representation and Reasoning ISBN: 9783319409849
ICCS
ICCS 2016-22nd International Conference on Conceptual Structures
ICCS 2016-22nd International Conference on Conceptual Structures, Jul 2016, Annecy, France. pp.17-30, ⟨10.1007/978-3-319-40985-6_2⟩

International audience; This paper presents a theoretical framework for exploring temporal data, using Relational Concept Analysis (RCA), in order to extract frequent sequential patterns that can be interpreted by domain experts. Our proposal is to t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b1b3e903b5460967aa3b7db67722776
https://hal.archives-ouvertes.fr/hal-01380407

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