Customer engagement is vital for businesses across industries. Through creating meaningful interactions and connections with customers, customer engagement could foster customer loyalty, drive customer satisfaction, and attract new customers. Researchers found that engaged customers are more likely to become brand advocates, provide feedback, and make repeat purchases. There are many customer engagement strategies, and one famous strategy is customer campaign, which is a strategic marketing initiative aimed at engaging and influencing a specific target customer.

Suppose you are a Data Analyst of the supermarket ABC, and involved in a project which aims to study their customer personality. You are given a relevant dataset named Customer _campaign.csv, which contains the information of 2,209 customers of the supermarket. The data details are shown in the following data description table. Answer the three (3) questions to assist the study.

Based on the given background and dataset details, identify a potential business problem. State the business objective and data mining objective and appraise the suitability of using association rule mining for solving the proposed business problem.

\begin{tabular}{|l|l|} \hline FIELD & DESCRIPTION \\ \hline ID & Customer's unique identifier \\ \hline Customer Information \\ \hline Age & Age: integer value in [18, 74] \\ \hline Education & Education level: 2n Cycle, Basic, Graduation, Master, PhD \\ \hline Marital_Status & Marital status: Alone, Divorced, Married, Single, Together, Widow \\ \hline Income & Customersyearlyhouseholdincome(inUSD):integervaluein[1730,666666] \\ \hline NumKid & Number of children in customer's household: 0, 1, 2 \\ \hline NumTeen & Number of teenagers in customer's household: 0, 1, 2 \\ \hline Purchasing Behavior & \\ \hline Recency & Number of days since customer's last purchase in the supermarket \\ \hline MntWines & Amount spent on wine in the last 2 years: integer value in [0, 1493] \\ \hline MntFruits & Amount spent on fruits in the last 2 years: integer value in [0, 199] \\ \hline MntFishes & Amount spent on fishes in the last 2 years: integer value in [0, 259] \\ \hline MntMeat & Amount spent on meat in the last 2 years: integer value in [0, 1725] \\ \hline MntSweetProds & Amountspentonsweetproductsinthelast2years:integervaluein[0,262] \\ \hline MntGoldProds & Amountspentongoldlabelledproductsinthelast2years:integervaluein[0,321] \\ \hline NumDealsPruchases & Number of purchases made with a discount: integer value in [0, 15] \\ \hline NumCatalogPurchases & Number of purchases made using a catalogue: integer value in [0, 28] \\ \hline Complain & If the customer complained in the last 2 years: 1 - Yes, 0 - No \\ \hline Responses in Previous Campaigns \\ \hline AcceptedCmp1 & If the customer accepted the offer in the 1st campaign: 1 - Yes, 0 - No \\ \hline AcceptedCmp2 & If the customer accepted the offer in the 2nd campaign: 1 - Yes, 0 - No \\ \hline AcceptedCmp3 & If the customer accepted the offer in the 3rd campaign: 1 - Yes, 0 - No \\ \hline AcceptedCmp4 & If the customer accepted the offer in the 4th campaign: 1 - Yes, 0 - No \\ \hline AcceptedCmp5 & If the customer accepted the offer in the 5th campaign: 1 - Yes, 0 - No \\ \hline Response in the Current Campaign \\ \hline Response & If the customer accepted the offer in the current campaign: 1 - Yes, 0 - No \\ \hline \end{tabular}