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Mining Association Rule

Data Mining Experiment. Mining Association Rule. Department of Computer Science Shenzhen Graduate School Harbin Institute of Technology. The form of data. Data for experiment. 1.BASKETS1n （市场购物篮数据）

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Mining Association Rule

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

  2. The form of data

  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

  5. Procedures

  6. Procedures

  7. Procedures

  8. Procedures

  9. Procedures

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

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