Course Description
Advanced Data Mining Techniques emphasizes advanced concepts and techniques for data mining and their applications to large-scale data warehouses. The course discuss basic concepts and principles of data mining, algorithms in classification and clustering and then covers advanced topics on data mining; mining patterns from temporal data, sequence data, graph data, semi-supervised learning, active learning, learning to learn, boosting and distributed data mining.
The course will also cover architecture and implementation of data warehouse, data preprocessing (including data cleansing), and the choice of mining algorithms for applications.