Prof. Dr. Witold Pedrycz na Universidade Católica de Santos -
UniSantos
O Programa de Mestrado em Informática da Universidade Católica de Santos receberá nos dias 15 e 16 de Abril a visita do Prof. Dr. Witold Pedrycz, titular do Depto. de Engenharia Elétrica e de Computação da Universidade de Alberta, em Edmonton, Alberta, Canadá. O professor Pedrycz ministrará a palestra "Knowledge-Based Clustering for Data Analysis" às 17:15h do dia 15/04 no auditório do Campus Vila Mathias, à Rua Dr. Carvalho de Mendonça, No. 144.
Trata-se de um dos mais importantes pesquisadores em termos mundiais na área de Sistemas Inteligentes, em particular nas subáreas de Computação Flexível, Inteligência Computacional e Computação Granular, com diversos livros publicados nessas e outras áreas relacionadas. É Fellow do
IEEE (The Institute of the Electrical and Electronic Engineers), presidente eleito da IFSA (International Fuzzy Systems Association) e participa do corpo editorial de mais de uma dezena de importantes periódicos científicos, dentre os quais destacam-se Information Sciences, Fuzzy Sets and Systems,
IEEE Transactions on Fuzzy Systems e
IEEE Transactions on
Neural Networks.
Informações podem ser obtidas pelo telefone (13) 3226-0501.
Abstract
In this presentation, we will concentrate on the
underlying concepts, role and selected algorithms of knowledge-based clustering being regarded as an essential technology for human-centric data analysis.
Starting with a cornerstone notion of information granules (whose construction is inherently supported by various mechanisms of clustering), we discuss a role they play in the realization of various processes of data analysis and present formal frameworks they usually entail. We elaborate on various ways of incorporating knowledge-based guidance into the predominantly data-driven clustering mechanisms when realized by means of fuzzy objective function-based clustering. In particular, we present mechanisms of partial supervision, context-based clustering, and proximity-oriented clustering. Collaborative clustering is discussed as an interesting vehicle of forming consensus between structures and relationships existing in various sources of data. Shown are also some pertinent applications of the environment of knowledge-based clustering to Web-based data and visual information.
Keywords:
objective function,
neural networks,
asset
Palavras-chave:
análise de dados
--
GregorioIvanoff - 10 Apr 2005
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