Business Intelligence and Data Mining

Course Description

This course introduces technologies and managerial issues related to data mining and business intelligence. Data mining is a rapidly growing field that is concerned with developing techniques to assist managers to make intelligent use of data repositories. The field of data mining has evolved from the disciplines of statistics and artificial intelligence (AI).

Course Aims

By the end of the course the student will be able to:

• know the concepts of data mining, business intelligence and the algorithms used in them.
• Describe the concept of forecasting and the treatment of missing data therein.
• Use algorithms and techniques related to data mining.
• Identify appropriate tools and techniques for data mining to implement business intelligence applications.
• Compare between the different methods of forecasting and methods of handling missing data in terms of the methods used and the strengths and weaknesses of the various data mining models and tools.
• Collaborate with members of his group to make an advanced presentation on modern applications in business intelligence and data mining.
• Communicate with others to build displayable content for business intelligence applications and data mining.

Course Contents:

• Introduction to data mining and business intelligence
• Data mining concepts and techniques
• Clustering
• Classification
• Decision tree
• Policies and methods of predictions
• Handling missing data in data mining
• Database mining
•  Introduction to Genetic Algorithms.

Course ID: MIS498