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Mining Association Rule Data Mining Experiment Department of Computer Science Shenzhen Graduate School Harbin Institute of Technology.

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Presentation on theme: "Mining Association Rule Data Mining Experiment Department of Computer Science Shenzhen Graduate School Harbin Institute of Technology."— Presentation transcript:

1 Mining Association Rule Data Mining Experiment Department of Computer Science Shenzhen Graduate School Harbin Institute of Technology

2 The form of data I1 I2 I5 I1 I2 I2 I4 I1 I2 I4 I1 I3 I1 I2 I3 I5 I1 I2 I3 I2 I5 I2 I3 I4 I3 I4 I1I2I3I4I5 111001 211000 301010 411010 510100 611101 711100 801001 901110 1000110

3 Data for experiment 1.BASKETS1n （市场购物篮数据） cardid, value, pmethod, sex, homeown, income, age, fruitveg, freshmeat, dairy, cannedveg, cannedmeat, frozenmeal, beer, wine, softdrink, fish, confectionery 2. supermarket 'grocery misc', 'baby needs', 'bread and cake', 'baking needs', coupons, juice-sat-cord-ms, tea, biscuits, 'canned fish-meat', 'canned fruit', 'canned vegetables', 'breakfast food', 'cigs-tobacco pkts'……

4 Procedures

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10 Program Mining with Apriori algorithm for a given data set, to identify the frequent set and generate association rules. For the data set, take a minimum support minsup = 0.2 the minimum confidence minconf = 0.8, the results obtained. Use the JAVA, C + + or C language.

11 Mining Association Rule Data Mining Experiment Department of Computer Science Shenzhen Graduate School Harbin Institute of Technology

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