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MPhil Student Xiaofei Yang Received Best Application Paper Award in PAKDD 2014

Our MPhil student, Xiaofei Yang, received the Best Application Paper Award in the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2014) based on his recent work entitled "Inferring Metapopulation Based Disease Transmission Networks". The co-authors of this work include Prof. Jiming Liu and Dr. William Cheung of the Department of Computer Science, HKBU; and Prof. Xiao-Nong Zhou of the National Institute of Parasitic Diseases, China CDC.

This work addresses the problem of inferring disease transmission networks at the metapopulation level. Specifically, it proposes an inference method called NetEpi (Network Epidemic), and evaluates the method by utilizing synthetic and real-world datasets. The experiments show that NetEpi can recover most of the ground-truth disease transmission networks based only on the surveillance data. Moreover, it can help detect and interpret patterns and transmission pathways from the real-world data.

The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is a leading international conference in the areas of knowledge discovery and data mining (KDD). It provides an international forum for researchers and industry practitioners to share their new ideas, original research results and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems and the emerging applications.

Details can be found at:

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Department of Computer Science, Hong Kong Baptist University
Hong Kong Baptist University