About Our Department

Led by Dr. See-Kiong Ng, our department is part of the Institute for Infocomm Research (I2R), a member of the Agency for Science, Technology and Research (A*STAR) family. With a unique history of starting out as a Bioinformatics group more than a decade ago, the department excels in cross-disciplinary data mining research, with a strong focus on the effective mining of complex patterns from both structured and unstructured data from a wide range of application domains.  Read more »

Our News


EMNLP 2010 Paper Accepted

Posted Wed, 11 Aug 2010 by skng

We have a paper accepted for oral presentation (Acceptance Rate 14%) in the 2010 Conference on Empirical Methods in Natural Language Processing (EMNLP 2010), Massachusetts, USA, October 9-11, 2010:

  • Xiaoli Li, Bing Liu and See-Kiong Ng (2010) "Negative Training Data Can Be Harmful to Text Classification"

This work studies the effects of training data on binary text classification and postulates that negative training data is not needed and may even be harmful for the task.

36th International Conference VLDB 2010 paper accepted

Posted Wed, 07 Jul 2010 by tlmah

We have a original conference paper accepted under the Industrial Applications and Experience Track in the upcoming VLDB 2010 to be held in Singapore from 13 to 17 Sept 2010 at Grand Copthorne Waterfront Hotel.

James TL Mah, Danny CC Poo, Shaojiang Cai."UASMAs (Universal Automated SNP Mapping Algorithms): a set of algorithms to instantaneously map SNPs in real time to aid functional SNP discovery."36th International Conference on Very Large Data Bases (VLDB) 2010,Industrial Applications and Experience Track.

ECML PKDD 2010 papers accepted

Posted Tue, 06 Jul 2010 by Anonymous

We have two papers accepted in the upcoming ECML PKDD 2010 Read more »

  • “Constructing Nonlinear Discriminants from Multiple Data Views” by Tom Diethe, David R. Hardoon and John Shawe-Taylor. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML), 2010
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