Description: Association rule mining research work include: Apriori algorithm for the expansion of the number of association rules mining, incremental updating of association rules, there is no need to generate candidate itemsets of association rule mining, maximal frequent itemsets mining, association rule mining binding, as well as parallel and Distribution of association rule mining algorithm, one of the rapid mining frequent itemsets and updating of association rules mining are the focus of the study, but also a variety of data mining technology in key applications, has been used in classification rules mining and network intrusion detection studies. The researchers also carried out the theory of data mining has made useful explorations, to concept lattice and rough sets in association rule mining applied to obtain significant results. So far, the mining association rules has made remarkable achievements, including: stand-alone environment for mining association rules algorithm many associatio
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Apriori
.......\Apriori.aps
.......\Apriori.clw
.......\Apriori.cpp
.......\Apriori.dsp
.......\Apriori.dsw
.......\Apriori.h
.......\Apriori.ncb
.......\Apriori.opt
.......\Apriori.plg
.......\Apriori.rc
.......\AprioriDoc.cpp
.......\AprioriDoc.h
.......\AprioriSet.cpp
.......\AprioriSet.h
.......\AprioriView.cpp
.......\AprioriView.h
.......\Debug
.......\.....\Apriori.exe
.......\.....\Apriori.ilk
.......\.....\Apriori.obj
.......\.....\Apriori.pch
.......\.....\Apriori.pdb
.......\.....\Apriori.res
.......\.....\AprioriDoc.obj
.......\.....\AprioriSet.obj
.......\.....\AprioriView.obj
.......\.....\MainFrm.obj
.......\.....\SetPara.obj
.......\.....\StdAfx.obj
.......\.....\vc60.idb
.......\.....\vc60.pdb
.......\MainFrm.cpp
.......\MainFrm.h
.......\ReadMe.txt
.......\res
.......\...\Apriori.rc2
.......\resource.h
.......\SetPara.cpp
.......\SetPara.h
.......\StdAfx.cpp
.......\StdAfx.h
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