Q1. Illustrate the differences between the three main kinds of data warehouse usage: Information processing, analytical processing and data mining? Describe the motivation behind OLAM.
Q2. Describe the basic algorithm for inducing a Decision tree from the training samples.
Q3. How is prediction distinct from the classification? List out the criterion on the basis of which categorization and prediction methods can be compared and assessed.
Q4. Describe the different issues in the Data mining.
Q5. How can the efficiency of Apriori-based be enhanced? describe in brief any of five variations of the Apriori algorithm.
Q6. What do you mean by Hierarchical method of clustering? Distinguish between Agglomerative and Divisive Hierarchical Clustering?
Q7. prepare brief note on any three of the given:
a) Social impacts of data mining
b) Text mining
c) Entropy-based discretization
d) Min-max and z-score normalization