conexp-ng - ConExp-NG is a simple GUI-centric tool for the study & research of Formal Concept Analysis (FCA) that allows you to create formal contexts, draw concept lattices and explore dependencies between attributes.
S. Kuznetsov, und S. Obiedkov. Principles of Data Mining and Knowledge Discovery, Seite 289--300. Berlin, Heidelberg, Springer Berlin Heidelberg, (2001)
R. Jäschke, und S. Rudolph. Contributions to the 11th International Conference on Formal Concept Analysis, Seite 19--34. Technische Universität Dresden, (Mai 2013)
F. Baader, B. Ganter, B. Sertkaya, und U. Sattler. Proceedings of the 20th international joint conference on Artifical intelligence, Seite 230--235. San Francisco, CA, USA, Morgan Kaufmann Publishers Inc., (2007)
K. Becker, G. Stumme, R. Wille, U. Wille, und M. Zickwolff. Knowledge Engineering and Knowledge Management Methods, Models, and Tools, Volume 1937 von Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, (2000)
G. Stumme, R. Wille, und U. Wille. Principles of Data Mining and Knowledge Discovery, Volume 1510 von Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, (1998)
J. Hereth, G. Stumme, R. Wille, und U. Wille. Conceptual Structures: Logical, Linguistic, and Computational Issues, Volume 1867 von Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, (2000)
S. Doerfel, R. Jäschke, und G. Stumme. Formal Concept Analysis, Volume 7278 von Lecture Notes in Artificial Intelligence, Seite 77--95. Berlin/Heidelberg, Springer, (Mai 2012)
J. Poelmans, P. Elzinga, S. Viaene, und G. Dedene. Conceptual Structures: From Information to Intelligence, Volume 6208 von Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, (2010)