Please provide detailed solution. Manual working needed.

uestion 21: Frequent Itemsets and Association Rules (20 marks a) List and describe the steps of a KDD process. 3 marks b) Explain the meaning of support and confidence in the context of association rule discovery algorithms 2 marks c) Trace the results of using the Apriori algorithm on the grocery store example with support threshold s= 25% and confidence threshold c = 60%. Show the candidate and frequent itemsets for each database scan. Enumerate all the final frequent itemsets. Also list all the association rules atht are generated with their support and confidence. Select the strong rules and calculate their lifts. Sort them by confidence. 15 marks Transaction IDItems T1 T2 T3 T4 T5 T6 T7 T8 Nuts. Buscuits. Lollies Nuts, Buscuits Nuts, Coke, Crisps Crisps, Coke Crisps, Lollues Nuts, Coke, Crisps Nuts, Biscuits Nuts. Coke, Crisps