Formal Concept Analysis in Knowledge Discovery: A Survey
J. Poelmans, P. Elzinga, S. Viaene, and G. Dedene.
Conceptual Structures: From Information to Intelligence, volume 6208 of Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, (2010)

In this paper, we analyze the literature on Formal Concept Analysis (FCA) using FCA. We collected 702 papers published between 2003-2009 mentioning Formal Concept Analysis in the abstract. We developed a knowledge browsing environment to support our literature analysis process. The pdf-files containing the papers were converted to plain text and indexed by Lucene using a thesaurus containing terms related to FCA research. We use the visualization capabilities of FCA to explore the literature, to discover and conceptually represent the main research topics in the FCA community. As a case study, we zoom in on the 140 papers on using FCA in knowledge discovery and data mining and give an extensive overview of the contents of this literature.

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http://dx.doi.org/10.1007/978-3-642-14197-3_15

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@incollection{poelmans2010formal,
  abstract = {In this paper, we analyze the literature on Formal Concept Analysis (FCA) using FCA. We collected 702 papers published between 2003-2009 mentioning Formal Concept Analysis in the abstract. We developed a knowledge browsing environment to support our literature analysis process. The pdf-files containing the papers were converted to plain text and indexed by Lucene using a thesaurus containing terms related to FCA research. We use the visualization capabilities of FCA to explore the literature, to discover and conceptually represent the main research topics in the FCA community. As a case study, we zoom in on the 140 papers on using FCA in knowledge discovery and data mining and give an extensive overview of the contents of this literature.},
  added-at = {2012-02-06T17:42:47.000+0100},
  address = {Berlin/Heidelberg},
  author = {Poelmans, Jonas and Elzinga, Paul and Viaene, Stijn and Dedene, Guido},
  biburl = {https://puma.uni-kassel.de/bibtex/29694689a034cc02aae1e27114ca26a94/jaeschke},
  booktitle = {Conceptual Structures: From Information to Intelligence},
  doi = {10.1007/978-3-642-14197-3_15},
  editor = {Croitoru, Madalina and Ferré, Sébastien and Lukose, Dickson},
  interhash = {713d63f847ff4b2cbf613fc0508eb31b},
  intrahash = {9694689a034cc02aae1e27114ca26a94},
  isbn = {978-3-642-14196-6},
  keywords = {analysis concept discovery fca formal kdd knowledge survey},
  pages = {139--153},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  timestamp = {2012-02-06T17:42:47.000+0100},
  title = {Formal Concept Analysis in Knowledge Discovery: A Survey},
  url = {http://dx.doi.org/10.1007/978-3-642-14197-3_15},
  volume = 6208,
  year = 2010
}

%0 Book Section
%1 poelmans2010formal
%A Poelmans, Jonas
%A Elzinga, Paul
%A Viaene, Stijn
%A Dedene, Guido
%B Conceptual Structures: From Information to Intelligence
%C Berlin/Heidelberg
%D 2010
%E Croitoru, Madalina
%E Ferré, Sébastien
%E Lukose, Dickson
%I Springer
%K analysis concept discovery fca formal kdd knowledge survey
%P 139--153
%R 10.1007/978-3-642-14197-3_15
%T Formal Concept Analysis in Knowledge Discovery: A Survey
%U http://dx.doi.org/10.1007/978-3-642-14197-3_15
%V 6208
%X In this paper, we analyze the literature on Formal Concept Analysis (FCA) using FCA. We collected 702 papers published between 2003-2009 mentioning Formal Concept Analysis in the abstract. We developed a knowledge browsing environment to support our literature analysis process. The pdf-files containing the papers were converted to plain text and indexed by Lucene using a thesaurus containing terms related to FCA research. We use the visualization capabilities of FCA to explore the literature, to discover and conceptually represent the main research topics in the FCA community. As a case study, we zoom in on the 140 papers on using FCA in knowledge discovery and data mining and give an extensive overview of the contents of this literature.
%@ 978-3-642-14196-6

PUMA

Formal Concept Analysis in Knowledge Discovery: A Survey
J. Poelmans, P. Elzinga, S. Viaene, and G. Dedene.
Conceptual Structures: From Information to Intelligence, volume 6208 of Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, (2010)

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PUMA

Formal Concept Analysis in Knowledge Discovery: A SurveyJ. Poelmans, P. Elzinga, S. Viaene, and G. Dedene. Conceptual Structures: From Information to Intelligence, volume 6208 of Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, (2010)

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Cite this publication

Formal Concept Analysis in Knowledge Discovery: A Survey
J. Poelmans, P. Elzinga, S. Viaene, and G. Dedene.
Conceptual Structures: From Information to Intelligence, volume 6208 of Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, (2010)