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Code No: 844AD R17
JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD
MCA 1V Semester Examinations, October/ November - 2020
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DATA WAREHOUSING AND DATAMINING
Time: 2 Hours Max.Marks:75
Answer any five questions
All questions carry equal marks
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1. Define data mining. Explain the steps in applying data mining to any database or data warehouse and the significance of data mining primitives. [15]
2.a) What is the use of principal component analysis in data preprocessing?
b) How to handle missing values in data mining process? [7+8]
3.a) With the help of a neat sketch describe the three-tier architecture of data warehouse.
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b) Differentiate between dependent and independent data marts. [7+8]
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4. Why are data models insufficient for data warehouse? Explain snowflake schema and fact constellation schema for data warehouse. [15]
5. Find strong association rules from the following transactional data using Apriori algorithm. Let support=30%, confidence=40% [15]
TID List of Items
T1 Soap, shampoo, body lotion, toothpaste
T2 Mug, bucket, soap, scrub
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T3 Dettol liquid, bucket, shower caps, soap
T4 Tooth brush, foot scrapper, shower caps
T5 Harpic, Dettol liquid, shower gel, shower caps
T6 Soap, body wash, toothpaste
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6.a) What is the role of information gain in decision tree induction?
b) Why is k-nearest neighbor classifier known as lazy learner? [7+8]
7. What is an outlier? What are the applications of outlier analysis? Demonstrate deviation based approach for outlier detection. [15]
8. What is the objective of Page Ranking algorithm? Explain it as web structure mining algorithm. [15]
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