Education and Career Forum

The Data Mining and Warehousing paper, which has 100 marks, is divided into two broad sections. The first section, comprising of short answer type questions, is of 40 marks. Some of the questions in this section are: explain how the evolution of database technology led to data mining, what is data warehouse, how do data warehousing and OLAP relate to data mining, why do we need to preprocess the data, discuss two general approaches to concept characterization, discuss the issues we need to consider during data integration. The second part of the question paper consists of long answer type questions and contains 60 marks. Some of the questions in this section are: discuss the schemes for multidimensional databases, what is data reduction and what are its strategies, discuss why analytical characterization is required and the process in which it is performed, explain the various methods of numeric concept hierarchy generation etc.