Biclustering meets triadic concept analysis M Kaytoue, SO Kuznetsov, J Macko, A Napoli Annals of Mathematics and Artificial Intelligence 70, 55-79, 2014 | 63 | 2014 |
Selecting important concepts using weights R Belohlavek, J Macko International conference on formal concept analysis, 65-80, 2011 | 55 | 2011 |
Mining biclusters of similar values with triadic concept analysis M Kaytoue, SO Kuznetsov, J Macko, W Meira, A Napoli arXiv preprint arXiv:1111.3270, 2011 | 13 | 2011 |
User-friendly fuzzy FCA J Macko Formal Concept Analysis: 11th International Conference, ICFCA 2013, Dresden …, 2013 | 9 | 2013 |
On Open Problem-Semantics of the Clone Items J Macko Contributions to the 10th International Conference on Formal Concept …, 2012 | 4 | 2012 |
Formal concept analysis as a framework for business intelligence technologies J Macko Formal Concept Analysis: 10th International Conference, ICFCA 2012, Leuven …, 2012 | 3 | 2012 |
Caractérisation et extraction de biclusters de valeurs similaires avec l'analyse de concepts triadiques. M Kaytoue, SO Kuznetsov, A Napoli, J Macko, W Meira Jr EGC, 65-76, 2012 | 1 | 2012 |
Characterization and extraction of biclusters of similar values with triadic concept analysis M Kaytoue, W Meira, SO Kuznetsov, A Napoli, J Macko Revue des Nouvelles Technologies de l'Information, 191-202, 2012 | | 2012 |
ConSeQueL-SQL Preprocessor Using Formal Concept Analysis with Measures J Kanovsky, J Macko The 2nd CUBIST Workshop, 33, 0 | | |