Abstract. In this paper, we propose that the select operator in relational databases be adopted for incorporating evidence in Bayesian networks. This approach does not involve the ...
As the first stage for discovering association rules, frequent itemsets mining is an important challenging task for large databases. Sampling provides an efficient way to get appro...
Implementations of the well-known Apriori algorithm for finding frequent item sets and associations rules usually rely on a doubly recursive scheme to count the subsets of a given...
This paper proposes a modelling of information security policies in the framework of possibilistic logic. Our modelling is based on the concept of roles associated with users. Acc...
One way of characterising texts is in terms of the discourse structures on which they appear to be built. Each type of text, or genre, e.g. the sports report, the recipe, the serm...