DATA MINING-APRIL 2016

PART-A

1. What  is meant by Data Mining?
2. Define:Cluster Analysis.
3. What is the purpose of Data Cleaning Routines?
4. Write the purpose of Concept Hierarchies
5. Define :Data Generalization.
6. How are association rules mined from large databasee?
7. Define:Interdimension Association Rules.
8. What is a decision tree?
9. Write a note on :Bayes Theorem.
10. Define:Cluster.
11. what is Dissimilarity Matrix?
12. What is an outlier?

PART-B

13 .Discuss Briefly on:Classification of Data Mining Systems.
14. Write short notes on:Data Integration.
15. Discuss about Task relevant Data.
16. What are the differences between concept Description in large databases and online analytical processing?
17. Write about Association Rule Mining?
18. Explain the algorithm for including a decision tree from training samples.
19. Discuss how the K-means algorithm works.

PART-C

20. Describe in detail Data Mining Functionalities.
21. Explain about a Data Mining Query Language with Examples.
22. Discuss about Mining Single-Dimensional Boolean Association Rules from Transnational Databases.
23. How to estimate and increase classifier accuracy?
24. Discuss in detail,any two Hierarchical Methods.