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.
%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 2012 citedBy:doerfel2012publication fca icfca kdd
%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
@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 = {2012-03-05T11:20:40.000+0100},
address = {Berlin/Heidelberg},
author = {Poelmans, Jonas and Elzinga, Paul and Viaene, Stijn and Dedene, Guido},
biburl = {https://www.bibsonomy.org/bibtex/29694689a034cc02aae1e27114ca26a94/kde},
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 = {2012 citedBy:doerfel2012publication fca icfca kdd},
pages = {139--153},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2012-03-05T11:25:04.000+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
}