In a manufacturing company, during the quality check process; identifying the product faults is a crucial task whereas the employees or persons are prone to make mistakes. Association rules (AR) in fault diagnosis can be useful for assisting quality engineers for identifying the faults efficiently. Using AR technique, products' faults can be identified by probability of the occurrence of failures concerning various factors. Further, using learning techniques, this interface can be extended by adding new failure and defining relationships between the new component failures and the corresponding fault ids. In this question, you are asked to identify the frequent itemset for the given fault components dataset using Association Rule mining. FID (Fault ID) Components sets AC B.C B.D A,B,C,D A A.D B A.B.C B.C.E F2 F3 F5 F7 F8 F9 Given: Minimum Support-2; Minimum Confidence-50% Note: Provide your answer as per the rubrics given below. Questions Marks Construction of initial table, candidate sets and item 10 BI sets Finding the association rules for the subsets Design the final computing solution for this problem dEvaluate the solution as per the given threshold minimum support and confidence) Total Marks ILO Scored Marks 4 BI 3 B3 3 CI 20