Kai Ming Ting
Professor
Information technology
University of Ballarat
Australia
Biography
After receiving his PhD from the University of Sydney (Australia), Kai Ming Ting worked at the University of Waikato, Deakin University and Monash University. He joined Federation University in 2014. He had previously held visiting positions at Osaka University (Japan), Nanjing University (China) and Chinese University of Hong Kong. His current research interests are in the areas of mass estimation and mass-based approaches, ensemble approaches and data stream data mining. He is an associate editor for Journal of Data Mining and Knowledge Discovery. He co-chaired the Pacific-Asia Conference on Knowledge Discovery and Data Mining 2008. He has served as a member of program committees for a number of international conferences including ACM SIGKDD, IEEE ICDM and ICML. His research projects are supported by grants from Australian Research Council, US Air Force of Scientific Research (AFOSR/AOARD), and Australian Institute of Sport. Awards received include the Runner-up Best Paper Award in 2008 IEEE ICDM, and the Best Paper Award in 2006 PAKDD.
Research Interest
Computing Data Mining
Publications
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A New Approach to Nearest Neighbour Density Estimator.
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A generic ensemble approach to estimate multi-dimensional likelihood in Bayesian classifier learning
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Half-Space Mass: A maximally robust and efficient data depth method
