The DMML research focuses on developing computational methods for data mining, machine learning, and social computing, and designing efficient algorithms to enable effective problem solving ranging from basic research, text/Web mining, bioinformatics, image mining, to real-world applications. The research includes (i) dealing with high dimensional data via feature selection and feature discretization; (ii) social computing, identifying the influentials in the blogosphere, group profiling and interaction; (iii) integrating multiple data sources to overcome ambiguity and uncertainty, (iv) employing domain knowledge for effective mining and information integration, and (v) assisting human experts by developing effective methods of ensemble learning, semi-supervised learning, and active learning with hierarchical classification, subspace clustering, and meta data. Detailed information can be obtained via our publications.
