Considering a fuzzy knowledge discovery system we have realized we describe here the main features of such systems. First, we consider possible methods to define fuzzy partitions on numerical attributes in order to replace continuous or symbolic ...

The strength of association between the row and column variables in a cross table varies with the level of aggregation of each variable. In many settings like the simultaneous discretization of two variables, it is useful to determine the aggregation ...

In essence, small disjuncts are rules covering a small number of examples. Hence, these rules are usually error-prone, which contributes to a decrease in predictive accuracy. The problem is particularly serious because, although each small disjuncts ...

The share measure for itemsets provides useful information about numerical values associated with transaction items, that the support measure cannot. Finding share frequent itemsets is difficult because share frequency is not downward closed when it is ...

In this paper we propose an approach for mining association rules in large, dense databases. For finding such rules, frequent itemsets must first be discovered. As finding all the frequent itemsets is very time-consuming for dense databases, we propose ...