Computing the Mixed Concept Lattice

 

Abstract

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Citation

Please, cite this work as:

[Pér+22] F. Pérez-Gámez, P. Cordero, M. Enciso, et al. “Computing the Mixed Concept Lattice”. In: Information Processing and Management of Uncertainty in Knowledge-Based Systems - 19th International Conference, IPMU 2022, Milan, Italy, July 11-15, 2022, Proceedings, Part I. Ed. by D. Ciucci, I. Couso, J. Medina, D. Slezak, D. Petturiti, B. Bouchon-Meunier and R. R. Yager. Vol. 1601. Communications in Computer and Information Science. Springer, 2022, pp. 87-99. DOI: 10.1007/978-3-031-08971-8_8. URL: https://doi.org/10.1007/978-3-031-08971-8_8.

NoteBibTeX

@inproceedings{Mixed-IPMU,
     author = {Francisco Pérez{-}Gámez and
     Pablo Cordero and
     Manuel Enciso and
     Domingo López{-}Rodríguez and
     Angel Mora},
     editor = {Davide Ciucci and
     Inés Couso and
     Jesús Medina and
     Dominik Slezak and
     Davide Petturiti and
     Bernadette Bouchon{-}Meunier and
     Ronald R. Yager},
     title = {Computing the Mixed Concept Lattice},
     booktitle = {Information Processing and Management of Uncertainty in Knowledge-Based
     Systems - 19th International Conference, {IPMU} 2022, Milan, Italy,
     July 11-15, 2022, Proceedings, Part {I}},
     series = {Communications in Computer and Information Science},
     volume = {1601},
     pages = {87–99},
     publisher = {Springer},
     year = {2022},
     url = {https://doi.org/10.1007/978-3-031-08971-8_8},
     doi = {10.1007/978-3-031-08971-8_8},
     timestamp = {Mon, 25 Jul 2022 08:39:18 +0200},
     biburl = {https://dblp.org/rec/conf/ipmu/Perez-GamezCEL022.bib},
     bibsource = {dblp computer science bibliography, https://dblp.org}
}

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Computing the Mixed Concept Lattice

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Papers citing this work

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[1] A. Braud, X. Dolques, M. Huchard, et al. “Relational Concept Analysis in Practice: Capitalizing on Data Modeling Using Design Patterns”. In: Formal Concept Analysis. Springer Nature Switzerland, 2023, p. 166–182. ISBN: 9783031359491. DOI: 10.1007/978-3-031-35949-1_12. URL: http://dx.doi.org/10.1007/978-3-031-35949-1_12.