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Finding Local Anomalies in Very High Dimensional Space


13 December 2010

A paper by researchers in the Centre that was accepted for ICDM10, titled, "Finding Local Anomalies in Very High Dimensional Space" by Timothy de Vries, Sanjay Chawla, and Michael Houle has been selected as one of the best papers for possible publication in Knowledge and Information Systems (KAIS).

Knowledge and Information Systems (KAIS) is a peer-reviewed archival journal published by Springer. It provides an international forum for researchers and professionals to share their knowledge and report new advances on all topics related to knowledge systems and advanced information systems.

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