Important RGPV Question
CS-703 (B) Data Mining and Warehousing
VII Sem, CS
UNIT-I
Q.1 Explain about the Three-tier data warchouse architecture with a neat diagram. (RGPV Dec 2024)
Q.2 Discuss the various types of warehouse schema with suitable example. (RGPV Dec 2024)
Q.3 Enumerate the building blocks of a data warehouse. Explain the importance of metadata in a data warehouse environment. What are the challenges in metadata management? (RGPV Dec 2024)
Q.4 Explain the role played by sourcing, acquisition, clean up and transformation tools in data warehousing. (RGPV Dec 2024)
Q.5 Diagrammatically illustrate and discuss the three tier data warehousing architecture. (RGPV Nov 2023)
Q.6 Briefly discuss the schemas for multidimensional databases. (RGPV Nov 2023)
Q.7 Give detailed information about Meta data in data warehousing. (RGPV Nov 2023)
UNIT-II
Q.1 Write the difference between multi-dimensional OLAI (MOLAP) and Multi-relational OLAP (ROLAP). (RGPV Dec 2024)
Q.2 Explain about how to use OLAP tools on the Internet. (RGPV Dec 2024)
Q.3 Explain the following in OLAP: (RGPV Dec 2024)
i) Roll up operation
ii) Drill down operation
iii) Slice operation
iv) Dice operation
Q.4 Explain the categorization of OLAP tools with necessary diagrams. (RGPV Nov 2023)
Q.5 List and explain the OLAP operation in multidimensional data model. (RGPV Nov 2023)
UNIT-III
Q.1 Explain various methods of data cleaning in detail. (RGPV Dec 2024)
Q.2 Explain with diagrammatic illustration the primitives for specifying a data mining task. (RGPV Dec 2024)
Q.3 Explain the various data mining issues and functionalities in detail. (RGPV Dec 2024)
Q.4 Explain about data mining applications. (RGPV Dec 2024)
Q.5 How a data mining system can be integrated with a data warehousing? Discuss with example. (RGPV Nov 2023)
Q.6 Explain with diagrammatic illustration data mining as a step in the process of knowledge discovery. (RGPV Nov 2023)
Q.7 Write short notes on the various preprocessing tasks. (RGPV Nov 2023)
Q.8 Explain data mining vs knowledge discovery in databases. (RGPV Nov 2023)
UNIT-IV
Q.1 Explain various learning techniques involved in supervised learning. (RGPV Dec 2024)
Q.2 Explain distance-based algorithms. (RGPV Dec 2024)
Q.3 Explain Decision tree-based algorithms. (RGPV Dec 2024)
Q.4 Explain whether association rule mining is supervised or unsupervised type of learning. (RGPV Nov 2023)
Q.5 Classification is supervised learning? Justify. (RGPV Nov 2023)
UNIT-V
Q.1 Describe in detail about types of data in cluster analysis. (RGPV Dec 2024)
Q.2 Explain the following clustering methods in detail. (RGPV Dec 2024,RGPV Nov 2023)
i) BIRCH
ii) CURE
Q.3 Define Clustering. Explain about types of data in cluster analysis. (RGPV Nov 2023)
Q.4 What is the goal of clustering? How does partitioning around medoids algorithm achieve this? (RGPV Nov 2023)
Q.5 Explain about the Apriori algorithm for finding frequent item sets with an example. (RGPV Nov 2023)
EXTRA QUESTIONS
Q.1 Discuss the following: (RGPV Nov 2023)
i) Star schema
ii) Snow Flake schema
iii) Fact constellation schema
— Best of Luck for Exam —
