FCALGS

FCALGS is a collection of standalone tools implementing algorithms for Formal Concept Analysis (FCA) – a method of qualitative data analysis founded by Rudolf Wille (TU Darmstadt) in mid 80s. Our intention is to implement high-performance command-line tools for computing formal concepts, (frequent) itemsets, nonredundant bases, boolean matrix decompositions, and solving other problems related to the FCA.

Keywords for this software

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References in zbMATH (referenced in 13 articles )

Showing results 1 to 13 of 13.
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  1. Janostik, Radek; Konecny, Jan; Krajča, Petr: LCM from FCA point of view: a CbO-style algorithm with speed-up features (2022)
  2. Pattison, Tim; Ceglar, Aaron: Towards interactive transition from AOC poset to concept lattice (2021)
  3. Zhao, Xuerong; Miao, Duoqian; Fujita, Hamido: Variable-precision three-way concepts in \textbfL-contexts (2021)
  4. Naidenova, Xenia; Parkhomenko, Vladimir: Contribution to attributive and object subcontexts in inferring good maximally redundant tests (2020)
  5. Neto, Sebastiao M.; Zárate, Luis E.; Song, Mark A. J.: Handling high dimensionality contexts in formal concept analysis via binary decision diagrams (2018)
  6. Andrews, Simon: Making use of empty intersections to improve the performance of CbO-type algorithms (2017)
  7. Rodríguez-Jiménez, Jose Manuel; Cordero, Pablo; Enciso, Manuel; Mora, Angel: Data mining algorithms to compute mixed concepts with negative attributes: an application to breast cancer data analysis (2016)
  8. Singh, Prem Kumar; Aswani Kumar, Cherukuri; Gani, Abdullah: A comprehensive survey on formal concept analysis, its research trends and applications (2016)
  9. Andrews, Simon: A `best-of-breed’ approach for designing a fast algorithm for computing fixpoints of Galois connections (2015)
  10. Gajdoš, Petr; Snášel, Václav: A new FCA algorithm enabling analyzing of complex and dynamic data sets (2014) ioport
  11. Pei, Zheng; Ruan, Da; Meng, Dan; Liu, Zhicai: Formal concept analysis based on the topology for attributes of a formal context (2013)
  12. Outrata, Jan; Vychodil, Vilem: Fast algorithm for computing fixpoints of Galois connections induced by object-attribute relational data (2012)
  13. Kaytoue, Mehdi; Kuznetsov, Sergei O.; Napoli, Amedeo: Biclustering numerical data in formal concept analysis (2011)