Data Mining - (3160714)
Books:
Jiawei Han:Download
Old Papers:
Important Topics:
1. Discuss the major issues/challenges in data mining.
2. Define data mining and list its features.
3. Describe Concept Hierarchy? List and briefly explain types of Concept Hierarchy
4. Briefly explain linear and non-linear regression.
5. Draw and explain the topology of a multilayer, feed-forward Neural Network with diagrams.
6. Discuss the Gain ratio as an attribute selection measure.
7. Differentiate classification and prediction
8. Explain Mean, Median, Mode, Variance, Standard Deviation & five-number summary with a suitable database example.
9. Define “clustering”? Mention any two applications of clustering.
10. Enlist the steps of the K-Mean clustering algorithm. Explain it with suitable examples.
11. Explain Web structure and Web usage mining.
Note: These are just Imps Topics, Please Study more Materials📑.
