We present a new algorithm for mining maximal frequent itemsets from a transactional database. Our algorithm is especially efficient when the itemsets in the database are very lon...
A number of vertical mining algorithms have been proposed recently for association mining, which have shown to be very effective and usually outperform horizontal approaches. The ...
Association rule mining is an important data mining problem that has been studied extensively. In this paper, a simple but Fast algorithm for Intersecting attribute lists using a ...
In this paper, we propose a novel probabilistic approach to summarize frequent itemset patterns. Such techniques are useful for summarization, post-processing, and end-user interp...
Abstract. In this paper, we present and detail a multifunctional itemset mining algorithm called Zart, which is based on the Pascal algorithm. Zart shows a number of additional fea...
Laszlo Szathmary, Amedeo Napoli, Sergei O. Kuznets...