Zhao Yinping, a PhD student from the Department of Computer and Information Science, Faculty of Science and Technology (FST), University of Macau (UM), received the Best Student Paper Award at the International Conference on Data Mining and Big Data (DMBD) 2018.

Held in Shanghai, This year’s event received 126 submissions from 35 countries and regions. Zhao’s paper, titled ‘Multiple Kernel Shadowed Clustering in Approximate Feature Space’, proposes a robust data clustering algorithm to handle large amounts of data, and the algorithm shows great performance on benchmark data. Clustering is a technology to assign data to meaningful groups. It is widely used in social media data analysis and image understanding. The paper is co-authored by Zhao, FST Associate Professor Chen Long and Chair Professor Philip Chen.

Hundreds of experts, scholars, and industry practitioners attended the conference and exchanged ideas on the latest developments and research findings in theories, algorithms, models, and applications of data mining and big data, as well as in artificial intelligence techniques. Through a rigorous review process, 74 high-quality papers were selected for inclusion in a LNCS book series to be published by Springer. The two previous conferences were held in Fukuoka and Bali, respectively.