Incremental-Eclat Model
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Date
2016
Journal Title
Journal ISSN
Volume Title
Publisher
Lecture Notes in Electrical Engineering
Abstract
Association Rule Mining (ARM) is one of the most prominent areas in
detecting pattern analysis especially for crucial business decision making. With the
aims to extract interesting correlations, frequent patterns, association or casual
structures among set of items in the transaction databases or other data repositories,
the end product of association rule mining is the analysis of pattern that could be a
major contributor especially in managerial decision making. Most of previous
frequent mining techniques are dealing with horizontal format of their data
repositories. However, the current and emerging trend exists where some of the
research works are focusing on dealing with vertical data format and the rule
mining results are quite promising. One example of vertical rule mining technique
is called Eclat which is the abbreviation of Equivalence Class Transformation.
Description
Keywords
Association rule mining, Relational database, Mysql, Frequent itemset, Eclat algorithm