Dr. A.P.J. Abdul Kalam University MTECH III SEM (CTA) Data Mining and Warehousing [MTCTA301(1)] Dec 2020 Question Paper

Dr. A.P.J. Abdul Kalam University

Master of Technology

Third Semester Main Examination, Dec-2020

Data Mining and Warehousing [MTCTA301(1)]

Time: 3:00 Hrs Max Marks 70

Note : Attempt any five questions. All question carry equal marks.

Q.1 (a) Explain all challenges that arise during data mining

(b) Before extracting knowledge from the data, we need to apply some important steps on it. Explain

those steps.

Q.2 (a) Explain Data mining issues related to performance, How these issues can be

resolved?

(b) Explain with suitable example that partitioning algorithm read or scan

database only two times in order to get frequent item sets.

Q.3 (a Write and Explain DBSCAN cluster approach.

 (b) What do you mean by hierarchical clustering?

Q.4 (a) Differentiate K-method with K-mean in the context of performance. Write CLARANS algorithm.

 (b What are the different types of web mining? Explain?

Q.5 (a) Write the short note on following:

(i) Event prediction

(ii) Time series analysis.

(b) What do you mean by content based image and video retrieval

Q.6 (a) What do you mean by content based image and video retrieval.

 (b) Explain the applications of data mining in banking and commerce area?

Q.7 (a) How rules are generated when we have frequent items sets? Explain with example.

(b) How to generate the rules from the frequent items set? Explain the importance of support and

confidence in rule generation.

Q.8 (a) Explain different techniques to measure the effectiveness of data mining algorithm.

(b) Is there any method to generate association rules without candidate items sets.

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