Jawaharlal Nehru Technological University Kakinada 2010-5th Sem M.C.A Subject Code: MC401 Iester [R06] Regular &Supplementary s, Data Warehousing and Mining - Question Paper

Time: three Hours

Max Marks: 60


ans any 5 ques. All ques. carry EQUAL marks



1. a) What is data mining? Briefly discuss the Knowledge discovery process.
b) discuss the three-tier data warehouse architecture.

2. a) Briefly define different forms of data pre-processing.
b) What is data cleaning? define the approaches to fill missing values.

3. Briefly define the primitives for specifying a data mining task.

4. What is Data generalization? discuss "How class comparison is performed?"

5. What is transactional database? With an example, discuss multilevel association rule
mining.

6. a) define the criteria used to evaluate classification and prediction methods.
b) With an example, discuss the classification by decision tree induction.

7. a) What is partitioning method? define any 1 partition based clustering algorithm.
b) What is Hierarchical clustering? define any 1 Hierarchical clustering algorithm.

8. What is text mining? define about basic measures for text retrieval.

Earning:   Approval pending.