This course explores the concepts and techniques of knowledge discovery and data mining. As a multidisciplinary field, data mining draws on work from areas including statistics, machine learning, pattern recognition, database technology, information retrieval, network science, knowledge-based systems, artificial intelligence, high-performance computing, and data visualization. This course focuses on issues relating to the feasibility, use- fulness, effectiveness, and scalability of techniques for the discovery of patterns hidden in large data sets. As a result, this course is not intended as an introduction to statistics, machine learning, database systems, or other such areas, although it does provide some background knowledge to facilitate the reader’s comprehension of their respective roles in data mining.

This course is a comprehensive introduction to data mining. It is useful for computing science students, application developers, and business professionals, as well as researchers involved in any of the disciplines previously listed