2008•Computer Technology and DevelopmentRequires access

A New Method of Mining Frequent-Item

Zhang Hua-xiang

Abstract

Provides a survey of the study in association rule generation.And then makes an analysis of the algorithm of association rule generation.On the basis of the analysis,the classical algorithm of Apriori is analyzed.Meanwhile the algorithm is making a further modification.Then an improved Apriori algorithm of Apriori-New is proposed.Due to its advantage of scanning DB only once,during the process of scanning,the frequent-items are marked and selected.In the end,all of the frequent-items can be found.A simple example is used to show the process of scanning.Then the new algorithm-Apriori-New is proposed with high efficiency and certain practical significance.

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Available abstract

Key concepts: Apriori algorithm, Association rule learning, Computer science, A priori and a posteriori, Data mining, Process (computing), Basis (linear algebra), Simple (philosophy)