ITS 632- Data Mining. Need help in solving final paper
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ITS-632 Final Exam Summer 2019 YOUR ANSWERS MUST APPEAR WITHIN THIS PROBLEM DOCUMENT. YOU MUST WRITE USING YOUR OWN WORDS.ANSWERS TAKEN FROM THE INTERNET OR ANSWERS THAT MATCH ANOTHER STUDENTS WILL RECEIVE ZERO (0) POINTS. 10% WILL BE DEDUCTED IF YOU CREATE A NEW OR SEPARATE DOCUMENT. 10% WILL BE DEDUCTED IF YOU CREATE A “TITLE PAGE” TYPE OF DOCUMENT. PLEASE US BOLD WHEN TYPING YOUR ANSWER. 1.True / False Our use of association analysis will yield the same frequent itemsets and strong association rules whether a specific item occurs once or three times in an individual transaction. ANSWER: 2.True / False A density-based clustering algorithm can generate non-globular clusters. ANSWER: 3.True / False The k-means clustering algorithm will automatically find the best value of k as part of its normal operation. ANSWER: 4. True / False In association rule mining the generation of the frequent itemsets is the computational intensive step. ANSWER: 5. In the following figure, there are two clusters. They are connected by a line which represents the distance used to determine inter-cluster similarity. Which inter-cluster similarity metric does this line represent? a. Min b. Max c. Group Average d. Distance between centroids ANSWER (JUST INDICATE THE LETTER OF YOUR RESPONSE – DO NOT USE WORDS): 6. Are the two clusters shown below well separated? a.Yes b. No ANSWER (JUST INDICATE THE LETTER OF YOUR RESPONSE – DO NOT USE WORDS): 7. Explain your answer to item #6. ANSWER: 8. Using a maximum of 20 words for each response, explain why how anomaly detection is vital in each of the following instances. a.Intrusion Detection Systems ANSWER (20 words or less): b. Fraud Detection in Transactions ANSWER (20 words or less): c. Electronic Sensor Events ANSWER (20 words or less):
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