Algorithms for mining frequent itemsets in static and dynamic datasets

Raudel Hernández-León, José Hernández-Palancar, Jesús Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad · Intelligent Data Analysis · 2010

In this paper, two algorithms for mining frequent itemsets in large sparse datasets are proposed. The first one, named Compressed Arrays (CA), allows to process datasets that do not change along the time (static datasets) while the second one, based

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