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.
P. Chapman, G. Stapleton, J. Howse, and I. Oliver. 2011 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), page 87-94. (September 2011)
S. Kuznetsov, and S. Obiedkov. Principles of Data Mining and Knowledge Discovery, page 289--300. Berlin, Heidelberg, Springer Berlin Heidelberg, (2001)
K. Chandrasekaran, S. Gauch, P. Lakkaraju, and H. Luong. Adaptive Hypermedia and Adaptive Web-Based Systems, volume 5149 of Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, (2008)
R. Jäschke, and S. Rudolph. Contributions to the 11th International Conference on Formal Concept Analysis, page 19--34. Technische Universität Dresden, (May 2013)
F. Baader, B. Ganter, B. Sertkaya, and U. Sattler. Proceedings of the 20th international joint conference on Artifical intelligence, page 230--235. San Francisco, CA, USA, Morgan Kaufmann Publishers Inc., (2007)
K. Becker, G. Stumme, R. Wille, U. Wille, and M. Zickwolff. Knowledge Engineering and Knowledge Management Methods, Models, and Tools, volume 1937 of Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, (2000)
G. Stumme, R. Wille, and U. Wille. Principles of Data Mining and Knowledge Discovery, volume 1510 of Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, (1998)
J. Hereth, G. Stumme, R. Wille, and U. Wille. Conceptual Structures: Logical, Linguistic, and Computational Issues, volume 1867 of Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, (2000)
S. Doerfel, R. Jäschke, and G. Stumme. Formal Concept Analysis, volume 7278 of Lecture Notes in Artificial Intelligence, page 77--95. Berlin/Heidelberg, Springer, (May 2012)