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Data Mining Department

The Department
Data mining is the intelligent computational analysis of large sets of data by using a combination of machine learning, statistical analysis and database technology, with the objective to discover patterns and rules useful for guiding decisions about future activities. 

In our Department, our key focus is on the effective mining of complex patterns from both structured and unstructured data, as well as the innovative uses of such techniques to discover new knowledge for a wide range of application domains.  With a unqiue history of starting out as a bioinformatics group more than a decade ago, the Department excels in cross-disciplinary data mining research, and it is expanding its success in bioinformatics to other challenging domains such as financial data analysis, business analytics, and social network mining. 

Our mission is to put Singaporeon the knowledge highway by developing advanced data mining systems to address the increasing volume, variety and velocity of data analysis today with greater flexibility, precision, and automation for our knowledge economies.

Key Competencies

  • Data Mining
  • Machine Learning
  • Text Mining
  • Graph Mining
  • Semantic Web Technologies
  • Privacy-preserving data mining
  • Graph Mining
  • Bioinformatics

Potential Applications

  • Analyzing scientific and research information
  • Analyzing business intelligence
  • Detecting fraud, waste and abuse
  • Sharing and mining of sensitive information
  • Improving service or performance

Intellectual Capital
Selected Patents

  • "Method and apparatus for classification of data by aggregating emerging patterns", USpatent 6,507,843
  • "A System, Method and Interface for Building Biological Databases Using Templates", UKPatent GB2383452
  • "Prediction by Collective Likelihood from Emerging Patterns", SG Patent 110346

Selected Publications

  • "Interaction Graph Mining for Protein Complexes Using Local Clique Merging", Best Paper for the 16th International Conference on Genome Informatics, Japan, 2005

Significant Projects/Collaboration

  • Collaboration with Johns Hopkins university to conduct research in the identification of vaccine target in dengue virus
  • Collaboration with the RIKEN Yokohama Institute to strengthen research on deciphering the logic of the transcription of immune system genes
  • Collaboration with NNI to build a clinical knowledge system for head injury treatment

Significant Achievements

  • Winner of Gold Award for the 2003 FEER (Far Eastern Economic Review) Asian Innovation Award for the application of our patented data mining technology to help doctors prescribe more accurate treatment for cancer patients.
  • Large-scale DNA promoter sequence analysis systems developed by the Department were used for the FANTOM3 project, an international consortium comprising of 45 research institutes from 11 countries in the world to study the mouse's transcriptome.
  • Licensing of our patented data mining technologies to Kooprime Pte Ltd.

Click here for the Data Mining Department infosheet.

 

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