MODEL EXAM QTN: 3 CS - DATA MINING

 

 

DR.R.K.SHANMUGAM COLLEGE OF ARTS & SCIENCE

INDILI, KALLAKURICHI

UNIVERSITY MODEL EXAMINATION (NOV-DEC-2022)

SUBJECT NAME: Data Mining                SUBJECT CODE: CECS54A         TIME: 3 Hrs, MAX MARKS: 75  DATE: 03.12.2022

SECTION- A                                   

ANSWER ALL QUESTIONS.                                          10X2=20 Marks

1. What is Data Mining?

2. Define Data Warehouse.

3. Define Multi-Dimensional Data Model.

4. Define Data Cube.

5. Define Decision Tree.

6. Define Classification.

7. What is Cluster Analysis?

8. Write Down the Expression for DBSCAN, BIRCH, CURE, DENCLUE.

9. What are the Applications of Data Mining?

10. What are the Major Types of Datamining Tools.

 

SECTION B

ANSWER ALL THE QUESTIONS                                                           5x5=25 marks

11. a) Describe the Major Issues in Data Mining. (OR)

 b) Explain the Concept about Data Integration.

12.a)Explain about the OLAP Operations. (OR)

b) Describe Multi-Dimensional Data Analysis in Cube Space.

13.a)Write short notes Classification and its Types.          (OR)

b) Explain about Bayesian Classification.

14.a) Explain about the Types of Clustering.         (OR)

      b) What is Outliers? Explain about Types of Outlier Analysis?

 15.a) Give a Short note on Data Mining Applications.     (OR)   

b) Discuss about Other Methodologies of Data Mining.

ANSWER ANY THREE  QUESTIONS                                                    3x10=30 marks

16. What is Data Cleaning? Explain the full Process for Data Cleaning.

17. Explain about the Data Warehouse Characteristics, Models and its Architecture.

18. Explain the Concept for Decision Tree.

19. Explain briefly about Algorithms Based on Hierarchical Methods.

20. Explain about Recent Data Mining Tools.

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