Professor Yiu Ming Cheung and PhD Student Yiqun Zhang Won the Best Student Paper Award in ISMIS 2018

29 Oct 2018
Professor Yiu Ming Cheung (left) and PhD student Yiqun Zhang received the Best Student Paper Award at the 24th International Symposium on Methodologies for Intelligent Systems (ISMIS 2018).

Professor Yiu Ming Cheung, Professor of the Department of Computer Science, and PhD student Yiqun Zhang received the Best Student Paper Award for their co-authored paper “Exploiting Order Information Embedded in Ordered Categories for Ordinal Data Clustering“ at the 24th International Symposium on Methodologies for Intelligent Systems (ISMIS 2018).

The award-winning paper proposes an entropy-based distance metric to reasonably exploit embedded order information for ordinal data clustering. In the literature, ordinal data are usually treated as numerical or nominal one in clustering tasks. As a result, the natural distance structure will be twisted, thus influencing the clustering performance. To this end, the proposed metric, which is specially designed for ordinal data, provides a solution, whose effectiveness has been successfully demonstrated on real ordinal data sets.

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