Overview of Redundancy free Association Rule Mining
作者： A K Chandanan , M K Shukla
DOI:
关键词: Free association (psychology) 、 Computer science 、 Rule mining 、 Association rule learning 、 Data mining 、 Data analysis
摘要: Association rule mining is a way to find relations or co-relations among set of information available. The aim generate rules for giving multiple data from various databases. Analysis can be possible with the help sequential access database. In case it may cause times same generated. It desired solution get out those unnecessary association due complex characteristics serial data. Although many numbers use either sequence temporal constraint as prediction model, these two models did not consider repetition during process goal this paper propose method redundancy free mining.
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