Complete the following statements with one of the terms listed here. You may use a term more than once, and some terms may not be used at all.

Anomaly detection Data mining Association Fraud detection Classification Regression Clustering Variance analysis 1. The recommendations in the “Frequently bought together” section that displays when you look at an item on the Target website result from _________ analysis.

2. A credit card issuer has a large data set of past and current card holders that includes lots of card holder characteristics and which card holders did not pay what they owed. The credit card issuer uses the model built from this data set to determine whether a new credit card applicant’s credit application should be approved based on that applicant’s characteristics. This model is an example of ________ .

3. An internal auditor is examining the relationship between daily cash drawer shortages and the head cashier on duty._________ may indicate that one particular head cashier was working when multiple cash drawer shortages occurred and that further investigation of that head cashier is warranted.

4. Your credit card company calls you to ask if you authorized a charge for a purchase of electronics at a store you have never shopped at that is located more than 500 miles from your home. The credit card company probably flagged this transaction by using _________.

5. is the process of discovering previously unknown patterns and knowledge in large data sets.

6. When actual results are compared against expected results and significant differences are investigated, this process is called __________ .

7. One of the reasons that an organization may use data mining is for__________.