In this talk we will argue that fuzzy set theory gives a natural framework for the exchange of information, and interaction, between analysts and machines. We will describe a new approach to the definition of fuzzy hierarchies, and show how this enables event sequences to be extracted, compared and mined at different levels of resolution.
**Bio**
Trevor Martin (M’07) is a Professor of artificial intelligence at the University of Bristol, U.K. He received the B.Sc. degree in chemical physics from the University of Manchester, in 1978, and the Ph.D. degree in quantum chemistry from the University of Bristol, in 1984. Since 2001, he has been funded by British Telecommunications (BT) as a Senior Research Fellow, for his research on soft computing in intelligent information management, including areas such as the semantic Web, soft concept hierarchies, and user modeling.
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