2.Apply the Apriori algorithm to the following transactional data. The data has been obtained from a popular supermarket chain in Nairobi during the school's opening week. Assume minimum support of...


2.Apply the Apriori algorithm to the following transactional data. The data has been obtained from a<br>popular supermarket chain in Nairobi during the school's opening week.<br>Assume minimum support of minimum support of 25%, and minimum confidence 55%, and derive a<br>rule or rules.<br>Transaction ID<br>Items<br>1<br>biscuits, juice, pencil<br>blueband, toothpaste, ink<br>toothpaste, sugar, jam, juice, ink|<br>4<br>juice, shoe polish, sugar, cocoa<br>coffee, jam, sugar, juice<br>toothpaste, pencil, toothbrush<br>7<br>sugar, shoe polish, toothpaste, juice, blueband<br>juice, sugar, soap, tea<br>cocoa, sugar, biscuits<br>10<br>detergent, soap, blueband<br>11<br>sugar, juice, ink, biscuits<br>12<br>blueband, juice, biscuits, soap, ink<br>2.<br>

Extracted text: 2.Apply the Apriori algorithm to the following transactional data. The data has been obtained from a popular supermarket chain in Nairobi during the school's opening week. Assume minimum support of minimum support of 25%, and minimum confidence 55%, and derive a rule or rules. Transaction ID Items 1 biscuits, juice, pencil blueband, toothpaste, ink toothpaste, sugar, jam, juice, ink| 4 juice, shoe polish, sugar, cocoa coffee, jam, sugar, juice toothpaste, pencil, toothbrush 7 sugar, shoe polish, toothpaste, juice, blueband juice, sugar, soap, tea cocoa, sugar, biscuits 10 detergent, soap, blueband 11 sugar, juice, ink, biscuits 12 blueband, juice, biscuits, soap, ink 2.

Jun 10, 2022
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