Aic 300 data mining techniques UPDATED ACTUAL
QUESTUIONS AND CORRECT Answers
Regression Analysis Sophia a days analyst at Westfork Mutual needs to predict the probability that a
customer will re renew their policy based on premium increases which
technique should she use
Regression analysis Millstonw insurance is analyzing its auto insurance to determine the oercentage
increase in premium tha would require a customer to switch to another insurer
what data mining technique should the company use
Cluster analysis Goshen mutual wants to explore its dat to discover previously unknown
patterns in customer behavior without predetermined categories which data
technique should they apply
Association rule learning Millstone insurance discovered through data analysis that customers who own
luxury vehicles and have multiple policies tend to purchase higher liability
limits. This discovery was made without any predetermined characteristics
being alyzed. Which day mining technique did they most likely use
Classification Westfork mutual needs to categorize incoming claims as either requiring fraud
investigation or standard processing based on known fraud indicators. What
data mining technique should they employ?
Association rule learning Millstone insurance discovered that customers who purchase umbrella policies
also tend to file fewer claims across all their policies what data mining
technique would best help them explore this relationship further
Association rule learning Millstone insurance wants to identify which customers are likely to purchase
umbrella polices based on their homeowners coverage limits. What data mining
technique would be most appropriate
QUESTUIONS AND CORRECT Answers
Regression Analysis Sophia a days analyst at Westfork Mutual needs to predict the probability that a
customer will re renew their policy based on premium increases which
technique should she use
Regression analysis Millstonw insurance is analyzing its auto insurance to determine the oercentage
increase in premium tha would require a customer to switch to another insurer
what data mining technique should the company use
Cluster analysis Goshen mutual wants to explore its dat to discover previously unknown
patterns in customer behavior without predetermined categories which data
technique should they apply
Association rule learning Millstone insurance discovered through data analysis that customers who own
luxury vehicles and have multiple policies tend to purchase higher liability
limits. This discovery was made without any predetermined characteristics
being alyzed. Which day mining technique did they most likely use
Classification Westfork mutual needs to categorize incoming claims as either requiring fraud
investigation or standard processing based on known fraud indicators. What
data mining technique should they employ?
Association rule learning Millstone insurance discovered that customers who purchase umbrella policies
also tend to file fewer claims across all their policies what data mining
technique would best help them explore this relationship further
Association rule learning Millstone insurance wants to identify which customers are likely to purchase
umbrella polices based on their homeowners coverage limits. What data mining
technique would be most appropriate
