Formal concept analysis in knowledge discovery: a survey

  • Authors:

  • Jonas Poelmans;Paul Elzinga;Stijn Viaene;Guido Dedene

  • Affiliations:

  • K. U. Leuven, Faculty of Business and Economics, Leuven, Belgium;Amsterdam-Amstelland Police, Amsterdam, The Netherlands;K. U. Leuven, Faculty of Business and Economics, Leuven, Belgium and Vlerick Leuven Gent Management School, Leuven, Belgium;K. U. Leuven, Faculty of Business and Economics, Leuven, Belgium and Universiteit van Amsterdam Business School, Amsterdam, The Netherlands

  • Venue:
  • ICCS'10 Proceedings of the 18th international conference on Conceptual structures: from information to intelligence
  • Year:
  • 2010

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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.