CSE4705-Data Warehousing And Data Mining

Course Objectives

1. Provide a solid introduction to the topic of Data Warehouse and data mining.

2. Show the difference between database and data warehousing.

3. Use the Star Schema to design a Data Warehouse.

4. Learn the various association rule mining, classification and clustering techniques

Course Outcomes

On completion of this course, the students will be able to

CO1. Design a data warehouse or data mart to present information needed by management in a form that is usable for management clients.

CO2. Implement a high quality data warehouse or data mart.

CO3. Effectively administer a corporate data resource in such a way that it will truly meet management’s needs.

CO4. Evaluate standards and new technologies to determine their potential impact on your information resource.

 Catalog Description

The recent years have generated explosive expansion of digital data stored in computer databases as well as increased pressure on companies to keep competitive advantage. This has put Data Mining (DM) as a key method for extracting meaningful information from the flood of digital data collected by businesses, government, and scientific agencies. Data mining is a class of analytical techniques that examine a large amount of data to discover new and valuable information. This course is designed to introduce the core concepts of data mining, its techniques, implementation, benefits, and outcome expectations from this new technology. It will also identify industry branches which most benefit from DM (such as retail, target marketing, fraud protection, health care and science, web and ecommerce). The course will focus on business solutions and results by presenting detailed case studies from the real world and finish with implementing leading mining tools on real (public domain) data.