Transcribed image text: 17. Use Figure 2 and the following description to answer Questions 17-19. Consider the item set in Figure 1 (with 6 items: eggs, beer, juice which is represented by the red glass, milk, diapers, and bread) in a dataset with 5 transactions. Each row in the dataset is a shopping purchase transaction. For example, transaction 1 in the first row of dataset represents the purchase of bread and milk; transaction 2 in the second row represents the purchase of bread, diapers, beer, and eggs. Figure 2. Itemset and a dataset derived from shopping data. Item set Dataset Question 17. The appropriate data mining method that can help identify rules observed in the dataset in the form of "If item X is purchased -> then item Y purchased is: a. Decision Trees b. Clustering c. Association Rule Mining d. Hierarchical Clustering e. k-Fold Cross Validation 18. Support for Milk and Juice being purchased together (that is the probability P(X & Y) where X= Milk and Y=Juice) is %. Write here: 19. Confidence for Diapers and Eggs (that is the probability P(YIX) where X= Diapers and Y =Eggs) is % Write here: