Data mining aims at finding the useful patterns in large data sets. Interest in the field is motivated by the growth of computerized data collection due to ubiquity of Internet enabled devices. This course will cover a set of techniques designed to be used for finding interesting patterns from the data. The techniques include classification, clustering, association rule minin and sequence mining. Students will learn and use the open source R statistical software, see http://www.r-project.org, and machine learning packages such as Weka in this course.
1. Students are able to discuss basic applications, concepts and techniques of data mining such as association rules mining, classification, clustering and sequence mining.
2. Students are able to use data mining software (Weka, R etc.) to solve practical problemsrelated to association rules mining, classification, clustering and sequence mining.
3. Students are able to analyze the performance of different data mining techniques.