UNIT 1:
Data warehousing Components
Building a Data warehouse
Mapping the Data Warehouse to a Multiprocessor Architecture
DBMS Schemas for Decision Support
UNIT 2:
Reporting and Query tools and Applications
The Need for Applications
Online Analytical Processing (OLAP)
Multidimensional Data Model
Multidimensional versus Multirelational OLAP
OLAP Tools and the Internet
UNIT 3:
Interestingness of Patterns
Data Mining Functionalities
Introduction to data mining
– Classification of Data Mining Systems
Data Mining Task Primitives
Integration of a Data Mining System with a Data Warehouse
UNIT 4:
Mining Frequent Patterns, Associations and Correlations
Mining Methods – Mining various Kinds of Association Rules
Constraint Based Association Mining
Classification and Prediction
Basic Concepts - Decision Tree Induction
Bayesian Classification – Rule Based Classification
– Classification by Back propagation – Support Vector Machines – Associative Classification
Lazy Learners – Other Classification Methods – Prediction.
UNIT 5:
– Categorization of Major Clustering Methods – K-means
Partitioning Methods – Hierarchical Methods
- Density-Based Methods –Grid Based Methods
Model-Based Clustering Methods – Clustering High Dimensional Data
