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Posted By: satish       Member Level: Gold       Posted Date: 20 Dec 2007

2007 Jawaharlal Nehru Technological University IV B.Tech I Semester Regular Examinations, November 2006 Question paper



Course:   University: Jawaharlal Nehru Technological University





Code No: RR410509 Set No. 1
IV B.Tech I Semester Regular Examinations, November 2006
DATA MINING AND DATA WAREHOUSING
( Common to Computer Science & Engineering and Information
Technology)
Time: 3 hours Max Marks: 80
Answer any FIVE Questions
All Questions carry equal marks
? ? ? ? ?
1. (a) What is partitioning data? Discuss with an example of a partitioned retail
sales fact table
(b) Discuss about the summary information relating to the data warehouse. [10+6]
2. (a) When is a summary table too big to be useful ?
(b) Relate and discuss the various degrees of aggregation within summary tables.
[8+8]
3. Describe the operational design issues involved in the data warehouse system. Ex
plain with the help of an example situation. [16]
4. (a) Describe the important aspects of service level agreement of backup strategy
(b) “A data warehouse is not an operational system“ Justify. [8+8]
5. Explain the significance of tuning the Data warehouse.
[16]
6. What is splitting criteria? With an example explain about the [2]
(a) Class Histogram, and [7]
(b) Count Matrix. [7]
7. (a) Which frequent item set mining is suitable for text mining and why? Explain?
(b) Discuss the relationship between text mining and information retrieval and
information extraction. [8+8]
8. (a) Describe different similarity measures of timeseries
data.
(b) Discuss the major features of the time weaver algorithm. [8+8]
? ? ? ? ?
1 of 1





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