The usage of descriptive data mining methods for predictive purposes is a recent trend in data mining research. It is well motivated by the understandability of learned models, the...
This paper formalizes the notion of a design model structurally conforming to a design pattern by representing the model as a logic program whilst the pattern as a query. The conf...
Patterns are concise, but rich in semantic, representation of data. The approaches proposed in the literature to cope with pattern management problems usually deal with a single ty...
We present a class of permutations for which the number of distinctly ordered subsequences of each permutation approaches an almost optimal value as the length of the permutation ...
This paper presents some new algorithms to efficiently mine max frequent generalized itemsets (g-itemsets) and essential generalized association rules (g-rules). These are compact ...