Applying the Apriori algorithm
Consider the following transaction database:
  TID     Items
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  01      A, B, C, D, F
  02      A, B, C, D, E, G
  03      A, C, G, H, K
  04      B, C, D, E, H, K
  05      D, E, F, H, L
  06      A, B, C, K, L
  07      A, D, F, L
  08      B, I, E, K, L
  09      C, D, F, L
  10      A, B, D, E, K
  11      C, D, H, I, K
  12      C, E, F, K
  13      B, C, D, F
  14      A, B, C, D
  15      C, H, I, J, K
  16      A, D, E, F, H, L
  17      H, K, L
  18      A, D, H, K
  19      D, E, F, K, L
  20      B, C, D, E, H, L
Applying the Apriori algorithm with minimum support of 30% and minimum confidence of 75%, find all the association rules in the data set. Give details of your computation at each step, however, at each step give only the frequent itemsets that satisfy minimum support (i.e., itemsets which appear in at least 6 transactions). Also specify the confidence and improvement for each of the rules you discovered. (Hint: similar problem could be found on slide 67 of handout4)
Answers
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Posted 29 May 2017 07:05 AM
My Price 8.00
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