Data Warehousing & Mining Important Questions Semester 5 – Comps MU

This Questions are contributed by Private Academy Engineering

MODULE 1 – DATA WAREHOUSING FUNDAMENTALS

1. Compare OLTP and OLAP.
2. What Are the Basic Building Blocks of a Data Warehouse?
3. Difference Between Star Schema and Snowflake Schema.

MODULE 2 – INTRODUCTION TO DATA MINING, DATA EXPLORATION & DATA PRE-PROCESSING

1. Explain Issues of Data Mining.
2. Explain Data Pre-Processing.
3. Explain Different Types of Attributes.
4. Discuss Data Visualization Techniques.
5. Describe the Steps Involved in Data Mining.

MODULE 3 – CLASSIFICATION

1. What Are the Various Methods for Estimating a Classifier’s Accuracy?
2. Explain Decision Tree-Based Classification Approach with Example.
3. What Are the Various Issues Regarding Classification and Prediction?

MODULE 4 – CLUSTERING

1. Explain K-Means and K-Medoids Algorithm.
2. Difference Between Agglomerative and Divisive Clustering Methods.

MODULE 5 – MINING FREQUENT PATTERNS AND ASSOCIATION

1. Explain Multilevel and Multidimensional Association Rule Mining in Detail.
2. Explain Market Basket Analysis with an Example.
3. Explain Steps of the Apriori Algorithm.

MODULE 6 – WEB MINING

1. What Is Web Mining?
2. Explain Page Rank Technique in Detail.
3. Explain Web Structure Mining and Web Usage Mining.
4. Explain CLARANS Extension in Web Mining.
5. Explain Structure of a Web Log with an Example.

For Answers – https://Madhav.topsecret.link/lchjt

src: