Future Direction of Incremental Association Rules Mining
by
Ahmed Emam
Western Kentucky University

ABSTRACT: Data mining has been attracted much attention from practitioners and researchers in recent years. Association rules is one of the most important research areas of data mining. Association Rule Mining (ARM) aims to discovers the relationship between the most frequent itemsets. Many algorithms have been developed for mining static datasets. It is nontrivial to maintain such discovered rules from large datasets, this was the main idea behind Incremental Association Rules Mining (IARM), which recently has received much attention from the Data Mining researcher. This paper basically gives the various topics of sequential and parallel and distributed association rule mining. Survey of Incremental Association Rule Mining (IARM) techniques and algorithms that had been developed is covered and categorized with analysis. This paper gives us a brief future direction of sequential and parallel and distributed incremental association rule mining.

Keywords : Data Mining (DM), Data mining Algorithms, Association Rule Mining (ARM), Updating Association Rule Mining, Incremental Association Rule Mining(IARM).

Date received: May 1, 2009