Data Warehousing and Data Mining — Summer 2023

What are the different steps involved in the KDD process for data mining?

What is a data warehousing schema? Explain the difference between star schema and snowflake schema.

What are support and confidence measures in association rule mining, and how are they calculated?

Explain three tier data warehouse architecture in details.

What is regression? Explain the difference between simple linear regression and multiple linear regression.

Discuss the key steps involved in the apriori algorithm for discovering frequent itemsets.

Explain the concept of pruning in decision trees and its impact on model performance.

Discuss Bayesian classification.

What is dimensionality reduction, and what is its main objective in data mining?

What are some common techniques for handling missing data?

Discuss the concept of hierarchical clustering and the different linkage methods used to form clusters.

Discuss the concept of backpropagation and how it is used to train neural network classifiers.

Compare and contrast hierarchical clustering and partition-based clustering algorithms.

Write a short note on spatial data mining.

What is clustering in data mining, and what are its main objectives?

Describe the k-means clustering algorithm and its characteristics.

What is web mining, and what are its applications?