DATA WAREHOUSING, MINING AND BUSINESS INTELLIGENCE (DWMBI), B.E. (IT) Semester- 7, (May 2012)

DATA WAREHOUSING, MINING AND BUSINESS INTELLIGENCE (DWMBI)

B.E. (IT) Semester- 7, (May 2012)

Con. 3839-12.

GN-6443

(3 Hours)

[Total Mark 100]

N.B. : (1) Question No 1 is compulsory.

(2) Solve any four questions from remaining six questions.

Q.1: Solve any four from following.

(a) Compare Data Mining and Text Mining --- (5 Marks)
(b) What is Web Usage Mining? --- (5 Marks)
(c) What are the major issues in Data Mining? --- (5 Marks)
(d) Explain multilevel association rules --- (5 Marks)
(e) Compare Database and Data Warehouse. --- (5 Marks)

Q.2: (a) Explain mining sequence patterns in transactional Database. --- (10 Marks)
(b) Explain any one method of hierarchical clustering with example. --- (10 Marks)

Q.3: (a) Explain different data stream methodologies. --- (10 Marks)
(b) Explain Data Integration and Transformation with an example. --- (10 Marks)

Q.4: (a) Explain Hoeffding Tree Algorithm with example. --- (10 Marks)
(b) List the dimensions and for Clinical information system and design star and snowflake schema. --- (10 Marks)

Q.5: (a) Explain different PLAP Operations and applications. --- (10 Marks)
(b) Use K- means algorithm to create 3- clusters for given set of values. --- (10 Marks)

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2,

3,

6,

8,

9,

15,

18,

22

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Q. 6: (a) Design a BI application which will provide Retail Chain Company with features and performance that meet their objectives. Use any data mining technique. --- (10 Marks)
(b) Explain Web Content Mining with reference to crawlers, Harvest System, Virtual Web view and personalization. --- (10 Marks)

Q. 7: Write short notes on any Three. --- (20 Marks)
(a) Difference between Periodic crawler and Incremental crawler.

(b) Spatial Data Mining

(c) Market Segmentation

(d) Outlier analysis.

Also see Data warehousing, Mining and business intelligence question papers for December 2011