Instructor: Dr. Carson K. Leung

Lecture: Tue & Thu 16:00-17:15 in EITC E2-165

Course Description

• This course will examine topics of interest at the fourth-year level. Specific topics will vary from year to year. Topics will be selected from current research in computer science.
• This Spring 2006 offering of 074.406 provides an introduction to some basic data mining concepts and their applications, in such areas as tracking customer purchase trends, short-term load forecasting in power systems, and discovering unusual folding regions in genome sequences.
• Some potential topics to be covered:
  • Discovery of frequent patterns
  • Formation of interesting rules
  • Clustering and unsupervised learning
  • Classification and supervised learning
  • Detection of anomalies
  • Data visualization
  • Applications of data mining in areas such as finance, healthcare, electronic commerce, marketing, intrusion detection, and telecommunications
  • Brief introduction on parallel data mining and machine learning
• Credits: 3
• Prerequisite: Departmental permission (and 074.338)