PhD Student Kai Liu Received Best Student Paper Award in PAKDD 2012

21 Jun 2012

Our PhD student, Kai Liu, received the best student paper award in the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2012) based on his recent work entitled "Detecting Multiple Stochastic Motifs in Network Data", under the supervision of Dr. William K. Cheung and Prof. Jiming Liu. The motif detection algorithm can be applied to analyze local structural properties of network data with uncertainties, including social networks, human interaction networks and biological networks.

The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is a leading international conference in the areas of data mining and knowledge discovery (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, and decision-making systems.