MAFIA: A Performance Study of Mining Maximal Frequent Itemsets

Il voit un jour débarquer Paul Vitti, parrain mafieux de New York, qui est en proie à des crises d'angoisse soudaines et n'arrive plus à assurer correctement sa charge de parrain.

« Plus que jamais nous avons besoin d’une stratégie de contrepouvoir et de citoyenneté pour faire front commun contre la corruption et la résignation ».. Rencontre

+ Implantation d’abord dans les grandes agglomérations puis dans toutes les villes et communes (Particularité administrative belge favorisant la dispersion dans le pays). +

In this paper, we present an ongoing work to discover maximal frequent itemsets in a transactional database. We propose an algorithm called ABS for Adaptive Borders Search, which is

Thus, storage method has advantages if the number of max- imal frequent itemsets is small, but for the instances with a lot of maximal frequent itemsets, which take long time to

However, it is important to avoid building the complete trie, but only some upper part of it, so that the nodes (i.e. their root paths) represent reasonable candidates for

Figure 11 (c) shows the main memory used by FP-trees, MFI-trees and the whole algorithm when running FPmax* on dataset connect-4.. The minimum support was set

For the array-based representation we considered an overhead of 1 word for each transaction, while for the standard and Patricia tries, we considered an overhead per node of 4 and