Regardless of the frequent patterns to discover, either the full frequent patterns or the condensed ones, either closed or maximal, the strategy always includes the traversal of t...
We focus on the problem of efficient learning of dependency trees. Once grown, they can be used as a special case of a Bayesian network, for PDF approximation, and for many other u...
The investigation of a software system prior to a modification task often constitutes an important fraction of the overall effort associated with the task. We present Suade, an Ec...
In this paper we demonstrate a framework for efficient development of textual domain specific languages and supporting tools. We use a redundance-free and compact definition of le...
In this paper, we propose a diagnostic test generation method in conjunction with an efficient sequential SAT-based diagnosis procedure to precisely identify multiple defective si...