Roll No. Total No. of Pages : 02
Total No. of Questions : 09
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MCA (2015 & Onward) (Sem.-6)
DATA WAREHOUSING & MINING
Subject Code : MCA-601
M.Code : 74755
Time : 3 Hrs. Max. Marks : 60
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INSTRUCTIONS TO CANDIDATES :
- SECTIONS-A, B, C & D contains TWO questions each carrying TEN marks each and students have to attempt any ONE question from each SECTION.
- SECTION-E is COMPULSORY consisting of TEN questions carrying TWENTY marks in all.
SECTION-A
- Explain the different types of data warehouse models used in three-tier Data Warehouse Architecture.
- What is spatial data warehouse? Explain the architecture for spatial systems.
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SECTION-B
- What is a temporal database? Explain fact relationships and measures for temporal data warehouse.
- Explain the following :
- Temporal hierarchies.
- Temporal data types.
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SECTION-C
- What is back propagation? Write an algorithm for classification by back propagation.
- How classification is performed using genetic algorithms and k-nearest neighbor? Explain.
SECTION-D
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- How clustering can be performed by partitioning methods? Explain algorithms for k-means and k-mediods partitioning methods.
- How object dissimilarity can be computed for objects described by interval-scaled variables and binary variables? Explain.
SECTION-E
- Answer briefly :
- Define agglomerative hierarchical clustering.
- What is linear regression?
- Define Data warehouse models.
- Define Spatial Objects.
- Define Nominal Variables.
- Define Temporal Granularity.
- Discuss temporal support for devels.
- Discuss DBSCAN.
- What are genetic algorithms?
- What is bayes theorem?
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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 MCA Last 10 Years 2011-2021 Previous Question Papers|| Punjab Technical University
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