%0 Journal Article %1 poelmans2013formal1 %A Poelmans, Jonas %A Kuznetsov, Sergei O. %A Ignatov, Dmitry I. %A Dedene, Guido %D 2013 %J Expert Systems with Applications %K fca literature survey %N 16 %P 6601 - 6623 %R http://dx.doi.org/10.1016/j.eswa.2013.05.007 %T Formal Concept Analysis in knowledge processing: A survey on models and techniques %U http://www.sciencedirect.com/science/article/pii/S0957417413002935 %V 40 %X Abstract This is the first part of a large survey paper in which we analyze recent literature on Formal Concept Analysis (FCA) and some closely related disciplines using FCA. We collected 1072 papers published between 2003 and 2011 mentioning terms related to Formal Concept Analysis in the title, abstract and keywords. We developed a knowledge browsing environment to support our literature analysis process. We use the visualization capabilities of \FCA\ to explore the literature, to discover and conceptually represent the main research topics in the \FCA\ community. In this first part, we zoom in on and give an extensive overview of the papers published between 2003 and 2011 on developing FCA-based methods for knowledge processing. We also give an overview of the literature on \FCA\ extensions such as pattern structures, logical concept analysis, relational concept analysis, power context families, fuzzy FCA, rough FCA, temporal and triadic concept analysis and discuss scalability issues.

@article{poelmans2013formal1, abstract = {Abstract This is the first part of a large survey paper in which we analyze recent literature on Formal Concept Analysis (FCA) and some closely related disciplines using FCA. We collected 1072 papers published between 2003 and 2011 mentioning terms related to Formal Concept Analysis in the title, abstract and keywords. We developed a knowledge browsing environment to support our literature analysis process. We use the visualization capabilities of \{FCA\} to explore the literature, to discover and conceptually represent the main research topics in the \{FCA\} community. In this first part, we zoom in on and give an extensive overview of the papers published between 2003 and 2011 on developing FCA-based methods for knowledge processing. We also give an overview of the literature on \{FCA\} extensions such as pattern structures, logical concept analysis, relational concept analysis, power context families, fuzzy FCA, rough FCA, temporal and triadic concept analysis and discuss scalability issues. }, added-at = {2014-11-27T17:01:22.000+0100}, author = {Poelmans, Jonas and Kuznetsov, Sergei O. and Ignatov, Dmitry I. and Dedene, Guido}, biburl = {https://www.bibsonomy.org/bibtex/2ba0e43c2318a5433d9a3d9a253dea6ca/sdo}, description = {Formal Concept Analysis in knowledge processing: A survey on models and techniques}, doi = {http://dx.doi.org/10.1016/j.eswa.2013.05.007}, interhash = {7c70b9621e962c7688ee8ea2670af869}, intrahash = {ba0e43c2318a5433d9a3d9a253dea6ca}, issn = {0957-4174}, journal = {Expert Systems with Applications }, keywords = {fca literature survey}, number = 16, pages = {6601 - 6623}, timestamp = {2014-11-27T17:15:17.000+0100}, title = {Formal Concept Analysis in knowledge processing: A survey on models and techniques }, url = {http://www.sciencedirect.com/science/article/pii/S0957417413002935}, volume = 40, year = 2013 }