Download Model question papers & previous years question papers

Posted Date: 23 Jan 2010      Posted By:: Deepthi Madhuri    Member Level: Silver  Points: 5 (Rs. 1)

2009 Osmania University B.E Information Technology B.E. IV/IV (IT) I SEMESTER(New) (Main) Examination,Nov./Dec.,2009 -Data Warehousing and Data Mining (Elective-II) Question paper

Course: B.E Information Technology   University/board: Osmania University

Faculty of Informatics

B.E. IV/IV (IT) I SEMESTER(New)(Main)Examination,Nov./Dec.,2009

Data Warehousing and Data Mining (Elective-II)

Time:3 Hours Max. Marks:75

Note:Answer all questions from Part-A.Answer any five questions from Part-B.

Part-A (Marks:25)

1. Define data mining and data warehouse.(Marks:2)

2. Define the following OLAP operations:(Marks:2)
(a)Rollup (b)Drilldown.

3. State the Bayes Theorem.(Marks:2)

4. Define the following types of Data in Cluster Analysis:(Marks:2)
(a)Categorical variable
(b)Ordinal variable

5. Define spatial mining and text mining.(Marks:2)

6. Define the following terms:(Marks:3)
(b)Histogram Analysis

7. State the following terms:(Marks:3)
(a)Inter Quartile Range
(b)Five-Number Summary.

8. Define following terms:(Marks:3)
(a)Time Series Data
(b)Web Mining
(c)Multimedia Data Mining

9. Given two objects represented by the tuples
(22,1,42,10) and (20,0,36,8)
Compute the Euclidean distance between the two objects.(Marks:3)

10. Define any three Data Mining functionalities.(Marks:3)

PART-B (Marks:50)

11. (a) Explain data mining as a step in the process of knowledge discovery with diagram.(Marks:5)
(b)Explain major issues in Data Mining.(Marks:5)

12. (a)Write the differences between operational databases and data warehousing.(Marks:5)
(b)Explain normalization techniques in Data Transformation.(Marks:5)

13. (a)How does the Naive Bayesian classification work?Explain.(Marks:5)
(b)Explain classifier accuracy.(Marks:5)

14. (a)Explain about statistical-based outlier detection and deviation-based outlier detection
(b)Given two objects represented by the tuples
(23,4,56,6) and (30,0,26,10)
Compute the Minkowski distance between the two objects,using P=3.(Marks:5)

15. (a)Explain how to construct spatial Data Cube and spatial OLAP.(Marks:5)
(b)Explain Spatial Associations and co-location patterns.(Marks:5)

16. Explain how to mine the frequent items using Apriori Algorithm with example.(Marks:10)

17. (a)Write Algorithms for K-Means and K-Medoids.(Marks:5)
(b)Discuss about density based methods.(Marks:5)

Return to question paper search

Next Question Paper: FIRST P.U.C MID-TERM EXAMINATION-2009

Previous Question Paper: security in computing

Related Question Papers:

  • B.E.IV/IV(IT) I Semester(New)(Main)Examination,Nov./Dec.,2009-Information Security(Elective-III)

  • 2nd Year 1st semester Main examination Microbiology

  • 2nd year 1st semester Pharmaceutical Analysis Main, Dec 2006

  • 2nd year 1st sem Engineering Main, Dec 2006

  • 2nd year 1st sem Engineering Main, Jan 2006

  • Categories

    Submit Previous Years University Question Papers and make money from adsense revenue sharing program

    Are you preparing for a university examination? Download model question papers and practise before you write the exam.

    Complete the action items below to enter to win an iPad Mini from India Study Channel! in India Study Channel - Locker on LockerDome
    Awards & Gifts
    Active Members
    TodayLast 7 Daysmore...

    ISC Technologies, Kochi - India. © All Rights Reserved.