We are designing new data mining techniques on boolean contexts to identify a priori interesting bi-sets (i.e., sets of objects or transactions associated to sets of attributes or ...
Mining of frequent closed itemsets has been shown to be more efficient than mining frequent itemsets for generating non-redundant association rules. The task is challenging in data...
tion and alteration of software models at different levels of abstraction. These modifications are usually performed independently, but the objects to which they are applied to, ar...
Abstract. This paper introduces semantical concepts to support a formal structural dynamics of situated multiagent systems. Multiagent systems are seen from the perspective of the ...
Formal concept analysis (FCA) comprises a set of powerful algorithms which can be used for data analysis and manipulation, and a set of visualisation tools which enable the discove...