Machine learning is a crucial component of any intelligence system. It attempts to discover trends and regularities from data, past mistakes, and/or other sources, in order to improve the intelligence system. Machine learning has been applied successfully in many areas. Machine learning applications are also often called data mining.

People in the Data Mining and Business Intelligence Lab at Department of Computer Science, The University of Western Ontario have been doing extensive research in machine learning and data mining for well over 10 years.

Please see Publications for research outcome.

Recently, we develop a new search engine SEE with hierarchy. More technical details about SEE can be found here.

• [Dec 31, 2011] Paper “Active Learning with c-Certainty” by Eileen Ni and C.X. Ling accepted in The 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2012.
• [Dec 31, 2011] Paper “Foundation of Mining Class-Imbalanced Data” by Da Kuang, C.X. Ling and J. Du accepted in The 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2012.
• [Dec 31, 2011] Paper “Active Learning for Hierarchical Text Classification” by Xiao Li, Da Kuang and C.X. Ling accepted in The 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2012.
• [Nov 15, 2011] GlucoGuide by Yan Luo, David DeAngelis and C.X. Ling was awarded First Prize for Best Clinical Research Presentation at the 2nd Annual Diabetes Research Day at the Schulich School of Medicine & Dentistry.
• [Sept 9, 2011] Jun Du successfully defended his PhD thesis. The title of his thesis was “Active Learning with Generalized Queries” and his supervisor was Dr. C.X. Ling.
• [Sept 7, 2011] Paper “Direct Marketing with Fewer Mistakes” by Eileen Ni and C.X. Ling accepted in The 7th International Conference on Advanced Data Mining and Applications (ADMA), 2011.
• [Apr 4, 2011] Paper “A New Search Engine Integrating Hierarchical Browsing and Keyword Search” by Da Kuang, Xiao Li and C.X. Ling accepted in The 22nd International Joint Conference on Artificial Intelligence (IJCAI), 2011.

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