AKTU Data Warehousing & Data Mining (KOE093) Question Paper 2024-25

Note: Attempt all Sections. In case of any missing data; choose suitably.

Section A

Q1. Attempt all questions in brief · 2 × 10 = 20 marks

1. Explain Discretization.
2. Discuss issues to consider during data integration
3. Explain the working of Artificial Neuron.
4. Explain support and confidence in Association rule mining
5. Explain Pivot operation in OLAP.
6. Define Information Gain.
7. Define Data warehouse.
8. Explain Outlier Analysis.
9. What does negative, positive and zero Value Correlation coefficient indicates?
10. Explain Binning method for dealing with noisy data.

Section B

Q2. Attempt any three of the following · 10 × 3 = 30 marks

1. Explain three-tier data warehousing architecture.
2. Compare OLTP and OLAP Systems.
3. Discuss Snowflakes, and Fact Constellations Schemas for Multidimensional Data Models
4. Explain the following i. Enterprise Warehouse ii. Data Mart
5. Explain the Non linear separability using EX-OR functionality in Neural Network

Section C

Q3

Attempt any one part of the following · 10 × 1 = 10 marks

1. Explain Laplacian correction to avoid computing probability values of zero in Naïve Bayesian Classifier with example
2. Explain Top- down and Bottom-up approach for Hierarchical Clustering

Q4

Attempt any one part of the following · 10 × 1 = 10 marks

1. Explain K-mean Clustering Algorithm with it’s Limitations
2. Explain DBSCAN Clustering algorithm

Q5

Attempt any one part of the following · 10 × 1 = 10 marks

1. Explain The following iii. Spatial Mining iv. Temporal Mining
2. Explain the following i. Regression ii. Normalization

Q6

Attempt any one part of the following · 10 × 1 = 10 marks

1. Explain the Following i. various measures to calculate the central tendency of Data ii. Standard deviation and Variance.
2. Explain Decision tree with a suitable example

Q7

Attempt any one part of the following · 10 × 1 = 10 marks

1. Explain web content mining and web structure mining.
2. Differentiate ROLAP, MOLAP and HOLAP Server Architectures

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