Measuring the similarity between clusterings is a classic problem with several proposed solutions. In this work we focus on measures based on coassociation of data pairs and perfor...
Web users are always distracted by a large number of results returned from search engines. Clustering can efficiently facilitate users’ browsing pages of certain topic. However...
In this paper, we present our work on creating a complete set of rules for temporal arithmetic mixing months and days based on the “history-dependent intuition”. Many examples...
We present in this paper a method to discover the set of webpages contained in a logical website, based on the link structure of the Web graph. Such a method is useful in the conte...
We address the problem of rough applicability of rules within the framework of approximation spaces. The graded applicability of a rule for an object of an approximation space, int...