Roll No. ____________________ Total No. of Pages : 02
Total No. of Questions : 07
BCA (2014 to 2018) (Sem.-5)
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DATA WAREHOUSING AND MINING
Subject Code : BSBC-501
M.Code: 70628
Time : 3 Hrs. Max. Marks : 60
INSTRUCTION TO CANDIDATES :
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- SECTION-A is COMPULSORY consisting of TEN questions carrying TWO marks each.
- SECTION-B contains SIX questions carrying TEN marks each and a student has to attempt any FOUR questions.
SECTION-A
- Explain briefly :
- Data cleansing
- Need of Data Warehousing
- Pre-processing
- Data Mining Query Language
- Predictive Modeling
- Database Segmentation
- OLAP
- Pattern based Data Mining
- Data Warehouse Utilities
- Applications of Data Mining
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SECTION-B
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- Discuss the architecture of Data Warehousing in detail.
- What are OLAP and OLTP? Differentiate between the two.
- Briefly discuss various data models with suitable example.
- Discuss Data Mining and KDD process in detail.
- Explain data mining techniques - Association and Regression with example.
- How classification is different from clustering? Give suitable example.
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NOTE : Disclosure of Identity by writing Mobile No. or Making of passing request on any page of Answer Sheet will lead to UMC against the Student.
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This download link is referred from the post: PTU BCA Last 10 Years 2011-2021 Previous Question Papers