CMSC 33510
Data MiningPrerequisites: CMSC 15200 or 11700, and CMSC 27100, or consent of instructor.
Catalog Description: Data mining, an emerging field at the intersection of machine learning, statistics, and databases, is broadly defined as finding novel and interesting patterns in large amounts of data. In this research-oriented course, we survey data-mining techniques and applications, emphasizing the database perspective. Major themes include association rules, web search and mining, clustering, and sequence and stream mining. The course involves an independent data-mining project.
Instructors: S. NestorovQuarter offered: Spring
Last Verified by Sharon Salveter on 8 April, 2003.