Data Engineering and Mining (CISC 520)

This course addresses the emerging issues in designing, building, managing, and evaluating advanced data-intensive systems and applications. Data engineering is concerned with the role of data in the design, development, management, and utilization of complex computing/information systems. Areas of interest include database design; meta knowledge of the data and its processing; languages to describe data, define access, and manipulate databases; and strategies and mechanisms for data access, security, and integrity control. Data mining is a rapidly growing field that is concerned with developing techniques to assist managers to make intelligent use of these data repositories. A number of successful applications have been reported in areas such as credit rating, fraud detection, database marketing, customer relationship management, and stock market investments. The field of data mining has evolved from the disciplines of statistics and artificial intelligence.

Textbook

Data Mining: Concepts and Techniques by Han and Kamber

Topic List

• Data Warehouse Design
• Data Cleaning
• Classification Analysis
• Clustering Analysis
• Regression Analysis
• Frequent Itemset Analysis