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MCSE-301 (A) (GS)
121
M.E./M. Tech. (III Semester)
Examination, December 2025
Data Warehousing & Mining
Examination, December 2025
Data Warehousing & Mining
Time : Three Hours
Maximum Marks : 70
Note :
(i) Attempt any five questions.
(ii) All questions carry equal marks.
1.
(a) Differentiate between Database management system (DBMS) and Data Mining.
7
(b) Summarize the applications of Data Mining in different areas.
7
2.
(a) Explain the concept of association rule mining with an example.
7
(b) Describe the working principle of the Apriori algorithm.
7
3.
(a) With a suitable example, explain the working of the K-Medoid algorithm.
7
(b) Explain the approach used by CACTUS for clustering categorical data.
7
4.
(a) What does DBSCAN stand for? Describe how DBSCAN identifies clusters and noise.
7
(b) List and explain the applications of Neural Networks in Data Mining.
7
5.
(a) Describe how Genetic Algorithms are used for optimization in Data Mining problems.
7
(b) Describe the differences between Web Content Mining, Web Structure Mining, and Web Usage Mining.
7
6.
(a) Explain Temporal Association Rules with an example.
7
(b) What is Web Usage Mining (WUM)? List and explain the main types of WUM algorithms.
7
7.
(a) Explain the process of feature extraction in image and video mining.
7
(b) Describe Content-Based Video Retrieval and its components.
7
8.
Write a short on any two of the following :
14
(a) Issues and Challenges in DM
(b) Hierarchical clustering
(c) Spatial clustering
(d) Knowledge discovery (KDD)