CS2032 - Data Warehousing and Data mining
1. With a neat sketch explain the architecture of a data warehouse
2. Explain mapping the data warehouse to a multi processor Architecture
3. Write short notes on data warehouse meta data.
1. Discuss about the Reporting , query tools and applications
2. Discuss Multidimensional Data model?
3. Discuss Multidimensional versus Multirelational OLAP?
1. Explain the data mining functionalities in detail
2. Explain classification of data mining system
3. Explain the needs and steps involved in Data Pre-processing?
1. Write and explain the algorithm for mining frequent item sets. Give relevant example.
2. See Problems ………………………….
1. Explain in detail about Categorization of major clustering methods
2. Explain in detail about Partitioning methods with example
3. Explain the following clustering methods in detail (a)BIRCH (b)CURE
Data Warehousing and Data mining CS2032 Important 16 marks Questions Reviewed by Rejin Paul on 3:50 AM Rating: