SGAI

UK Symposium on Knowledge Discovery
and Data Mining 2011

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Dr. Frans Coenen: Bibliographic Details

Frans Coenen has a general background in AI, and has been working in the field of data mining and Knowledge Discovery in Data (KDD) for the last twelve years. He is particularly interested in: social network mining; trend mining; the mining of non-standard data sets such as graph, image and document collections; and the practical application of data mining in its many forms. Current applications include the classification of retina image and MRI scan data, and the discovery of trends in cattle movement data, transport networks and patient data. He has some 240 refereed publications on KDD and AI related research, and has been on the programme committees for many KDD events. He is very pleased to have been the founder, in 2005, of the BCS-SGAI series of UKKDD symposia.

Frans Coenen
Department of Computer Science
The University of Liverpool
Liverpool, UK
http://www.csc.liv.ac.uk/~frans/

SGAI

Organised by BCS SGAI
The Specialist Group on Artificial Intelligence
http://www.bcs-sgai.org

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