Concept lattices and their applications

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Authors

Manuel Ojeda-Aciego

Jan Outrata

Published

1 January 2016

Publication details

Int. J. Gen. Syst. vol. 45 (2), pages 55–56.

Links

Abstract

Citation

Please, cite this work as:

[OO16] M. Ojeda-Aciego and J. Outrata. “Concept lattices and their applications”. In: Int. J. Gen. Syst. 45.2 (2016), pp. 55-56. DOI: 10.1080/03081079.2015.1072921. URL: https://doi.org/10.1080/03081079.2015.1072921.

BibTeX

@Article{OjedaAciego2016,
     author = {Manuel Ojeda-Aciego and Jan Outrata},
     journal = {Int. J. Gen. Syst.},
     title = {Concept lattices and their applications},
     year = {2016},
     number = {2},
     pages = {55–56},
     volume = {45},
     bibsource = {dblp computer science bibliography, https://dblp.org},
     biburl = {https://dblp.org/rec/journals/ijgs/Ojeda-AciegoO16.bib},
     doi = {10.1080/03081079.2015.1072921},
     timestamp = {Thu, 20 Aug 2020 01:00:00 +0200},
     url = {https://doi.org/10.1080/03081079.2015.1072921},
}

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Citations
Scopus - Citation Indexes: 1

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Mendeley - Readers: 39

Cites

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Papers citing this work

The following is a non-exhaustive list of papers that cite this work:

[1] S. Ferré and P. Cellier. “Graph-FCA: An extension of formal concept analysis to knowledge graphs”. In: Discrete Applied Mathematics 273 (Feb. 2020), p. 81–102. ISSN: 0166-218X. DOI: 10.1016/j.dam.2019.03.003. URL: http://dx.doi.org/10.1016/j.dam.2019.03.003.

[2] C. V. Glodeanu. “Exploring Users’ Preferences in a Fuzzy Setting”. In: Electronic Notes in Theoretical Computer Science 303 (Mar. 2014), p. 37–57. ISSN: 1571-0661. DOI: 10.1016/j.entcs.2014.02.003. URL: http://dx.doi.org/10.1016/j.entcs.2014.02.003.

[3] E. Kontopoulos, C. Berberidis, T. Dergiades, et al. “Ontology-based sentiment analysis of twitter posts”. In: Expert Systems with Applications 40.10 (Aug. 2013), p. 4065–4074. ISSN: 0957-4174. DOI: 10.1016/j.eswa.2013.01.001. URL: http://dx.doi.org/10.1016/j.eswa.2013.01.001.

[4] M. Li, K. Chen, and B. Liu. “An example of pricing in competitive supply chain using association rule mining algorithm based on interval concept lattice”. In: Journal of Intelligent & Fuzzy Systems 43.1 (Jun. 2022), p. 425–435. ISSN: 1875-8967. DOI: 10.3233/jifs-212265. URL: http://dx.doi.org/10.3233/jifs-212265.

[5] Y. Nugroho and O. Saritas. “Seeing the Invisible and Making Sense of It. Scanning, Networks and Scenario Analysis”. In: Foresight and STI Governance 5.3 (Sep. 2011), p. 58–69. ISSN: 2500-2597. DOI: 10.17323/1995-459x.2011.3.58.69. URL: http://dx.doi.org/10.17323/1995-459x.2011.3.58.69.

[6] L. R. N. Oliveira and M. G. E. da Luz. “Basic Cells Special Features and Their Influence on Global Transport Properties of Long Periodic Structures”. In: Entropy 26.11 (Nov. 2024), p. 942. ISSN: 1099-4300. DOI: 10.3390/e26110942. URL: http://dx.doi.org/10.3390/e26110942.

[7] Y. Zhai, D. Li, and K. Qu. “Decision implication canonical basis: a logical perspective”. In: Journal of Computer and System Sciences 81.1 (Feb. 2015), p. 208–218. ISSN: 0022-0000. DOI: 10.1016/j.jcss.2014.06.001. URL: http://dx.doi.org/10.1016/j.jcss.2014.06.001.