Data Warehousing and Data Mining (4-0-0)
Course Contents:

Overview: Data warehousing, OLAP and Data mining, Classification of data mining techniques, Discovery and
analysis of patterns, trends, and deviations, Data mining models: decision trees, genetic algorithms,
neural nets, etc. Clustering, Enabling data mining through data warehouse. Data marts,
Multidimensional databases, Data mining applications

Prerequisite: UG Course in Database.

Course Details

Evaluation Process

Related Papers

List of Students

Lectures

Class Test 1 Question Paper

Mid-Sem Exam Question Paper

End-Sem Exam Question Paper

Attendance

Marks