Department of Computer Science


Knowledge and Database

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The group works on a broad range of topics in both theoretical and applied research, including: conceptual modelling, data mining, data quality, data warehousing, database theory, e-science, information access, information retrieval, knowledge management, knowledge representation, machine learning, ontologies, and the semantic web.

Members (academic staff or PhD students):

Academic staff:

Gillian Dobbie, Yun Sing Koh, Mark Gahegan, Sebastian Link, Bernhard Pfahringer, Pat Riddle