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Businesses and individuals are increasingly becoming flooded with data. Advancements in information technology have allowed 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” in this cyber-information age, data mining can automatically analyze data from different perspectives and diverse sources, summarize them into useful information, uncover new knowledge that were hidden, and use them to help predict future trends and behaviors.
The Data Analytics Department is part of the Institute for Infocomm Research (I2R), a member of the Agency for Science, Technology, and Research (A*STAR) in Singapore. The department currently over 40 researchers in data analytics / data science, with over 30 scientists holding a PhD in a data mining, data management, semantic computing, text mining and distributed stream mining.
With a unique history of starting out as one of the first Bioinformatics groups more than a decade ago, the department excels in cross-disciplinary applied 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 very large and complex 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.
AREA OF FOCUS:
- Machine Learning
- Medical Data Mining
- Text Mining
- Semantic Services and Systems
- Privacy Data Mining
- Cloud Computing and Data management Systems