Enterprises as well as individuals are increasingly becoming inundated with data. Advancements in information and communication technologies have enabled each and every one of us to generate, capture, and store vast quantities of data easily. However, raw data by itself is not very useful. To turn data into the “new gold” of the cyber-information age, we can use data mining to automatically analyze data from different perspectives, summarize it into useful information, uncover new knowledge hidden in it, and use them to help predict future trends and behaviors.

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.

Our mission is to develop advanced data mining systems to address the increasing volume, variety and velocity of data analysis today with greater flexibility, precision, and automation. We seek to enable intelligent computational analysis of large sets of data by using a combination of machine learning, statistical analysis and database technologies, together with such other computational techniques as natural language processing and semantic web technologies.

The department currently has more than 50 talented international research staff members, with more than 50% being PhD holders. We actively collaborate with industries to develop novel data mining algorithms and methodologies for real-world applications.

AREA OF FOCUS:

• Machine Learning
• Bioinformatics
• Medical Data Mining
• Text Mining
• Semantic Services and Systems
• Privacy Data Mining
• Cloud Computing and Data management Systems