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a) Select specific technique (e.g. Clustering, Association Rule, etc.)that will apply on the dataset b) User appropriate techniques and Analyze results of evaluation. c) Submit

a) Select specific technique (e.g. Clustering, Association Rule, etc.)that will apply on the dataset

b) User appropriate techniques and Analyze results of evaluation.

c) Submit results in the form of a report (word format only).

Note: (This is Business Analytics subject question)

member number

1808 Date item description

2552 21-07-2015 tropical fruit

2300 5/1/2015 whole milk

1187 19-09-2015 pip fruit

3037 ######## other vegetables

4941 1/2/2015 whole milk

4501 14-02-2015 rolls/buns

3803 8/5/2015 other vegetables

2762 23-12-2015 pot plants

4119 20-03-2015 whole milk

1340 ######## tropical fruit

2193 24-02-2015 citrus fruit

1997 14-04-2015 beef

4546 21-07-2015 frankfuther

4736 3/9/2015 chicken

1959 21-07-2015 butter

1974 30-03-2015 fruit/vegetable juice

2421 3/5/2015 packaged fruit/vegetables

1513 2/9/2015 chocolate

1905 3/8/2015 speciality bar

2810 7/7/2015 other vegetables

2867 8/9/2015 butter milk

3962 ######## whole milk

1088 18-09-2015 tropical fruit

4976 30-11-2015 tropical fruit

4056 17-07-2015 bottled water

3611 ######## yogurt

1420 13-02-2015 sausage

4286 14-01-2015 other vegetables

4918 8/3/2015 brown bread

4783 27-01-2015 yogurt

3709 22-10-2015 hamburger meat

4289 26-10-2015 root vegetables

1559 ######## pork

2900 ######## beef

1905 ######## pastry

3527 21-02-2015 fruit/vegetable juice

1495 29-09-2015 canned beer

3558 9/1/2015 root vegetables

3128 3/4/2015 citrus fruit

1863 20-04-2015 sausage

3841 4/8/2015 tropical fruit

3903 19-07-2015 berries

2658 ######## canned beer

4272 16-10-2015 butter milk

1120 6/6/2015 coffee

2676 26-09-2015 pastry

1697 15-08-2015 rolls/buns

2507 21-05-2015 misc. beverages

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