Data Mining and Knowledge Discovery

Course Description

The study and application of data mining techniques used to mine patterns in large transactional databases. INFSY 566 Data Mining and Knowledge Discovery (3) This course deals with the advanced study of intelligent data mining tools that are used to mine patterns in very large databases. The focus is on theoretical, mathematical and statistical foundations of data mining as well as the applications of data mining to various business applications. Students taking this course will learn different data mining techniques that can be used to mine patterns in large corporate and transactional databases, will be capable of developing and applying data mining tools, and will be able to do independent research in data mining area.Specific topics include the process of and statistical perspectives on knowledge discovery in databases, graphical models for discovering knowledge, inductive logic programming and data mining, discovering informative patterns and data cleaning, fast mining of association rules, inductive and deductive reasoning for data mining, and mathematical foundations of data mining. Data mining applications in finance, direct marketing and medicine will be emphasized.Several projects and a research paper required.

Code

INFSY 566

Credits

3

Subject

INFSY

Programs That Include This Course

• Master's Master of Science in Information Systems