ANURAG GROUP OF INSTITUTIONS

(Autonomous)

B.Tech III Year I Semester Regular Examinations Nov/Dec 2023

DATA WAREHOUSING AND DATA MINING (CSE)

Time: 3 Hours Max. Marks: 70

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Note: Answer all questions from Part A and Part B.

PART – A (10 × 2 = 20 Marks)

1. Define Data Mining.
2. List out different types of attributes.
3. What are the differences between OLAP and OLTP?
4. Define Data Warehouse.

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5. What is support and confidence in association rule mining?
6. Define anti-monotone property.
7. What is classification?
8. List any two applications of clustering.
9. What is meant by text mining?

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10. Write the applications of Data mining.

PART – B (5 × 10 = 50 Marks)

1. a) Explain the steps involved in Data Mining. (5M)
   (OR)
   b) Explain different Data Mining Task Primitives. (5M)
2. a) Explain about Data Cleaning and Data Integration with example. (5M)
   

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   (OR)
   b) Explain about Data Reduction techniques with example. (5M)
3. a) Explain in detail about schemas for multidimensional data models. (5M)
   (OR)
   b) Explain about Data warehouse architecture with neat diagram. (5M)

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4. a) Explain the Apriori Algorithm with example. (5M)
   (OR)
   b) Explain the different methods to improve the efficiency of Apriori Algorithm. (5M)
5. a) Explain about K-means clustering Algorithm with example. (5M)
   (OR)
   

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   b) Explain the various issues in classification and prediction. (5M)

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