Question: Objective: identifying the rules and performing the complete process of Association Rules Mining and Analysis Understanding Association Rules Mining Process and Outcomes Instructions: Use Template

Objective: identifying the rules and performing the complete process of Association Rules Mining and Analysis Understanding Association Rules Mining Process and Outcomes Instructions: Use Template File: Canvas 6D Association SC.xIsx Background Managers often analyze operational records to discover patterns of co-occurring problems. For example, if late supplier delivery often coincides with stockouts, managers can redesign inventory policies. Association Rule Mining (ARM) helps uncover such patterns. Note that Association Rules Mining, requires vast sums of data (thousands or millions of transactions or records) and strong software in order to process the data and identify meaningful and actionable associations. You are given the following dataset of 5 shipments and whether three problems occurred: Late Supplier Delivery (LSD) = Stockout (50) ~~ Expedited Shipping Required (E) s Shipment | Late Supplier Delivery (LSD) Stockout (SO) | Expedited Shipping (ES) 1 | Yes Yes | No 2 | Yes Yes | Yes 3 | Yes No | Yes 4 | No Yes Yes 5 | Yes No [ No Part a: Compute Support 1. What is the support count and support ratio for each factor (LSD, SO, ES)? 2. Whatis the support for the combinations: oO LSDand so LSDand Es O $0 and Es Part b: Generate Rules 1. List all possible rules with 1 antecedent 1 consequent (e.g., If LSD Then SO). 2. For each rule, compute: Support ratio Confidence Lift Identify Useful Rules ooo

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