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1、apriori算法matlab频繁模式挖掘对购买记录进行频繁模式挖掘，采用apriori算法本文档附带matlab算法以及一个案例：附件：BASKETS.txtBASKETS.xlsx在我的文库里首先进行数据BASKETS.txt的预处理：得到BASKETS.xlsx，（第二页）Matlab代码函数：一下是用附件做的案例主函数：结果截图：附原始数据：cardid,value,pmethod,sex,homeown,income,age,fruitveg,freshmeat,dairy,cannedveg,cannedmeat,frozenmea
2、l,beer,wine,softdrink,fish,confectionery39808,42.7123,CHEQUE,M,NO,27000,46,F,T,T,F,F,F,F,F,F,F,T67362,25.3567,CASH,F,NO,30000,28,F,T,F,F,F,F,F,F,F,F,T10872,20.6176,CASH,M,NO,13200,36,F,F,F,T,F,T,T,F,F,T,F26748,23.6883,CARD,F,NO,12200,26,F,F,T,F,F,F,F,T,F,F,F91609,18.8133,CAR
3、D,M,YES,11000,24,F,F,F,F,F,F,F,F,F,F,F26630,46.4867,CARD,F,NO,15000,35,F,T,F,F,F,F,F,T,F,T,F62995,14.0467,CASH,F,YES,20800,30,T,F,F,F,F,F,F,F,T,F,F38765,22.2034,CASH,M,YES,24400,22,F,F,F,F,F,F,T,F,F,F,F28935,22.975,CHEQUE,F,NO,29500,46,T,F,F,F,F,T,F,F,F,F,F41792,14.5692,CASH
4、,M,NO,29600,22,T,F,F,F,F,F,F,F,F,T,F59480,10.3282,CASH,F,NO,27100,18,T,T,T,T,F,F,F,T,F,T,F60755,13.7796,CASH,F,YES,20000,48,T,F,F,F,F,F,F,F,F,T,F70998,36.509,CARD,M,YES,27300,43,F,F,T,F,T,T,F,F,F,T,F80617,10.2011,CHEQUE,F,YES,28000,43,F,F,F,F,F,F,F,F,T,T,F61144,10.3736,CASH,
5、F,NO,27400,24,T,F,T,F,F,F,F,F,T,T,F36405,34.8222,CHEQUE,F,YES,18400,19,F,F,F,F,F,T,T,F,T,F,F76567,42.248,CARD,M,YES,23100,31,T,F,F,T,F,F,F,F,F,T,F85699,18.1688,CASH,F,YES,27000,29,F,F,F,F,F,F,F,F,F,T,F11357,10.753,CASH,F,YES,23100,26,F,F,F,F,F,F,T,F,F,T,F97761,32.3184,CARD,F
6、,YES,25800,38,T,F,F,T,F,F,F,T,F,T,T20362,31.72,CASH,M,YES,25100,38,F,F,F,F,F,T,F,F,F,T,F33173,36.8328,CASH,F,YES,24700,43,F,F,F,F,F,F,F,T,F,F,T69934,31.1787,CHEQUE,F,YES,21300,41,F,F,F,F,F,F,F,F,F,T,F14743,21.6813,CASH,M,YES,12400,48,T,T,T,T,T,T,T,T,F,F,F83071,29.8536,CASH,M
7、,YES,18100,31,F,F,F,F,F,F,T,F,F,F,T17571,15.27,CARD,F,YES,22900,23,T,F,T,F,F,T,T,F,F,F,F37917,32.2318,CHEQUE,F,NO,27000,32,F,T,F,F,F,F,F,T,F,F,T11236,42.5669,CARD,M,YES,26800,34,F,F,F,F,F,F,F,F,F,F,F47914,44.5913,CASH,F,YES,24700,32,F,T,F,F,F,F,F,T,F,T,T58154,49.1367,CHEQUE,
8、M,NO,21300,50,F,F,F,F,T,F,F,F,F,F,F35197,40.3398,CASH,M,NO,27400,38,F,F,F,F
