UNIT 1:
Data warehousing Components
Building a Data warehouse
Mapping the Data Warehouse to a Multiprocessor Architecture
DBMS Schemas for Decision Support
Data Extraction, Cleanup, and Transformation Tools
UNIT 2:
The Need for Applications – Cognos Impromptu
Reporting and Query tools and Applications
The Need for Applications – Cognos Impromptu
The Need for Applications – Cognos Impromptu
Online Analytical Processing (OLAP) – Need – Multidimensional Data Model
OLAP Tools and the Internet.
UNIT 3:
Data Mining Task Primitives
Data Mining Functionalities
Interestingness of Patterns
Integration of a Data Mining System with a Data Warehouse
UNIT 4:
Mining various Kinds of Association Rules
Mining Frequent Patterns, Associations and Correlations
Constraint Based Association Mining
Classification by Back propagation
Classification and Prediction
Mining Frequent Patterns, Associations and Correlations
UNIT 5:
categories of clustering methods
clustering high dimensional
