Data Warehousing & Mining

DWM Course File

Course : SH 2021

Course Code : CSC 502

Course Outcomes:

1. Understand data warehouse fundamentals, data mining principles

2. Design data warehouse with dimensional modeling and apply olap operations.

3. Identify appropriate data mining algorithms to solve real world problems

4. Compare and evaluate different data mining techniques like classification, prediction, clustering and association rule mining

5. Describe complex data types with respect to spatial and web mining.

6. Benefit the user experiences towards research and innovation.

• Theory Session Plan

• Practical Session Plan

• Assignment No.1

• Assignment No.2

• DWM Test 1

• DWM Test 2

• DWM Manual

Course Material

• Introduction to Data Warehouse

• Information Package Diagram

• ETL Process and OLAP

• Introduction to Data Mining

• Data Preprocessing

• Classification and Clustering

• Association Rule Mining

• Spatial Mining

• Web Mining

Course : FH 2021

Course Code : CSC 603

Course Outcomes:

2. Understand data warehouse fundamentals, data mining principles

3. Design data warehouse with dimensional modeling and apply olap operations.

4. Identify appropriate data mining algorithms to solve real world problems

5. Compare and evaluate different data mining techniques like classification, prediction, clustering and association rule mining

6. Describe complex data types with respect to spatial and web mining.

7. Benefit the user experiences towards research and innovation.

• Theory Session Plan

• Practical Session Plan

• Assignment No.1

• Assignment No.2

• DWM Test 1

• DWM Test 2

Course Material

• Introduction to Data Warehouse

• Information Package Diagram

• ETL Process and OLAP

• Introduction to Data Mining

• Data Preprocessing

• Classification and Clustering

• Association Rule Mining

• Web Mining

Course :