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Combining a knowledge-based system and a clustering method for a construction of models in ill-structured domains

Autor
Gibert, Karina; Cortes, U.
Tipus d'activitat
Capítol de llibre
Llibre
Selecting models from data: Artificial Intelligence and Statistics IV
Pàgina inicial
351
Pàgina final
360
Editorial
Springer
Data de publicació
1994-01
ISBN
978-1-4612-2660-4 Obrir en finestra nova
DOI
https://doi.org/10.1007/978-1-4612-2660-4 Obrir en finestra nova
URL
http://link.springer.com/book/10.1007/978-1-4612-2660-4 Obrir en finestra nova
Resum
Standard statistical methods usually ignore the additional information that an expert has about the domain structure. Direct treatment of symbolic information is not a very common characteristic of statistical systems. KLASS is a statistical clustering system that provides the possibility of using either quantitative and qualitative variables in the domain description. The user may also declare part of its knowledge about the domain structure. The system is especially useful when dealing with il...
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
KEMLG - Grup d´Enginyeria del Coneixement i Aprenentatge Automàtic

Participants