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[Solved] Following Contingeney Table Summarizes Grocery Store Transaction Data Transaction Item Mil Q37248303

The following contingeney table summarizes grocery store transaction data: Transaction Item Milk, bread, butter Milk, bread M

The following contingeney table summarizes grocery store transaction data: Transaction Item Milk, bread, butter Milk, bread Milk, soda, chips Chips, soda Chips, butter Milk, soda, chips 2 T3 T4 T5 T6 Using the Apriori algorithm on the grocery store exarnple, with support threshold s-33.33% and confidence threshold c-60%, show the candidate and frequent itemsets for each database scan (Show the process steps): enumerate all the final frequent itemsets; indicate the association rules that are generated, highlight the strong ones, and sort them by confidence a. b. e. Use the transactional database from the previous exercise with same support threshold to answer the following questions. . Build a frequent pattern tree (FP-tree. For each transaction, show how the tree evolves. 2. Use FP-growth to discover the frequent itemsets from this FP-tree. 3. Compare the results obtained using the FP-growth to the results obtained using the Apriori in question 3. Show transcribed image text The following contingeney table summarizes grocery store transaction data: Transaction Item Milk, bread, butter Milk, bread Milk, soda, chips Chips, soda Chips, butter Milk, soda, chips 2 T3 T4 T5 T6 Using the Apriori algorithm on the grocery store exarnple, with support threshold s-33.33% and confidence threshold c-60%, show the candidate and frequent itemsets for each database scan (Show the process steps): enumerate all the final frequent itemsets; indicate the association rules that are generated, highlight the strong ones, and sort them by confidence a. b. e. Use the transactional database from the previous exercise with same support threshold to answer the following questions. . Build a frequent pattern tree (FP-tree. For each transaction, show how the tree evolves. 2. Use FP-growth to discover the frequent itemsets from this FP-tree. 3. Compare the results obtained using the FP-growth to the results obtained using the Apriori in question 3.

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