Description: Apriori data mining algorithm Java implementation, can effectively carry out the statistical and rule generation of frequent itemsets
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File list (Check if you may need any files):
apriori2\.classpath
........\.project
........\.settings\org.eclipse.jdt.core.prefs
........\1000-out1.csv
........\20000-out1.csv
........\5000-out1.csv
........\75000-out1.csv
........\bin\com\cheng\Apriori.class
........\...\...\lamp\crf15\Apriori_crf.class
........\...\...\....\.....\Compare_Gaijin.class
........\...\...\....\.....\Example_BuilSubSet.class
........\...\...\....\.....\FileTool.class
........\...\...\....\.....\Rule_Num_Du.class
........\...\...\....\.....\Runtime_TransNum.class
........\...\...\....\.....\TxtFile.class
........\src\com\cheng\Apriori.java
........\...\...\lamp\crf15\Apriori_crf.java
........\...\...\....\.....\Compare_Gaijin.java
........\...\...\....\.....\Example_BuilSubSet.java
........\...\...\....\.....\FileTool.java
........\...\...\....\.....\Rule_Num_Du.java
........\...\...\....\.....\Runtime_TransNum.java
........\...\...\....\.....\TxtFile.java
........\bin\com\lamp\crf15
........\src\com\lamp\crf15
........\bin\com\cheng
........\...\...\lamp
........\src\com\cheng
........\...\...\lamp
........\bin\com
........\src\com
........\.settings
........\bin
........\src
apriori2