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The Data, Information and Knowledge Management Group was established to gather a group of researchers and research students working on a range of problems related to data management and optimization, efficiently gain useful information from large set of data in various formats, discovering, codifying, and structuring, sharing and utilizing knowledge in contemporary organisational settings. The main goal of the group is to collect, process and analyze from the collected data in various source to provide understanding and reliable decisions. The current research interests are as follows, but not limited to:
  • Database and Information Systems
  • Database Languages and Models
  • Multimedia Databases
  • Mobile Databases
  • Query Optimization
  • Information Search
  • Information Science
  • Strategic Management
  • Knowledge Discovery & Data Mining
  • Knowledge Representation and Reasoning
  • Big Data Analytics
  • Ontologies and information integration
  • Semantic Web Services and Semantic Technology
Group Leader: Dr. Sugumaran