[Mcc2008] Palestra Prof Stan Matwin.

Manoel Orley orley em lia.ufc.br
Segunda Abril 23 13:18:26 BRT 2012


  Encaminho para o conhecimento de todos esta mensagem do Prof. Fernando 
Gomes sobre a palestra do Prof Stan Matwin no dia 02 de maio as 10 horas 
no Auditório do Departamento  de Computação.

Current research in Machine Learning and Text Mining in Ottawa

Stan Matwin, University of Ottawa

In this presentation Stan Matwin will review the current work at the 
Text Analysis and Machine Learning Lab, University of Ottawa, Canada.   
Research in text mining focuses on the data model and use of additional 
symbolic (or statistical) knowledge to enrich the process. A recent 
application is following tweets of different parts of the political 
spectrum in the presidential election in France. Research in data 
privacy looks at the algorithms that can perturb the data so that 
privacy is preserved while the quality of the data remains acceptable. 
Research in mining trajectories of moving objects examines patterns of 
movements of ships and builds models allowing prediction of events in 
maritime traffic. We will also touch on current research in machine 
learning for face recognition in video data, and in proposing a new 
classifier performance measure that addresses certain shortcomings of 
the standard ROC curves.

*Stan Matwin* is a Distinguished University Professor of Computer 
Science at the University of Ottawa and an Associate Professor with the 
Polish Academy of Sciences. His research is in data mining, text mining, 
and data privacy. Author and co-author of 250 papers and h-index value 
of 27, he has worked at universities in Canada, the U.S., Europe and 
Latin America. Former president of the Canadian Artificial Intelligence 
Society and of the IFIP Working Group 12.2 (Machine Learning), Stan has 
served on the Editorial Boards of the leading Machine Learning and AI 
journals. A founder of Devera Logic Inc., Stan is active in innovation 
and technology transfer. He is a Fellow of the European Coordinating 
Committee on AI and Fellow of the Canadian AI Society.

Atenciosamente,
Orley Carneiro
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