Literature has always witnessed efforts that make use of parallel algorithms/parallel
architecture to improve performance; machine learning space is no exception. In fact, a …

In this article we present a performance comparison between Apriori and FP-Growth
algorithms in generating association rules. The two algorithms are implemented in Rapid …

Existing methods in association rule mining based on traditional support-confidence
framework generates huge number of frequent patterns and association rules often ignoring …

In this paper we discuss the potential of cloud computing to deliver services for the study of
disasters and provide solutions for mitigation of the effects. Our investigation is focused on …

This paper presents an improved version of the Frequent Itemset Mining algorithm. Along
with its generalization, this algorithm for association rule discovery was designed to be used …

The aim of the present paper is to contribute to the existing pool of studies in the field of
information technology, at international level, and to integrate these into economic …

Association Rule Mining (ARM) represents an important tool for Data Mining techniques. A
key step in ARM is to determine the frequent itemsets present within the analyzed data …