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Knowledge discovery by means of inductive methods in wastewater treatment plant data

Autor
Comas, J.; Dzeroski, S.; Gibert, Karina; Rodriguez-Roda, I.; Sànchez-Marrè, M.
Tipus d'activitat
Article en revista
Revista
AI communications: the european journal of artificial intelligence
Data de publicació
2001-01
Volum
14
Número
1
Pàgina inicial
45
Pàgina final
62
URL
http://content.iospress.com/articles/ai-communications/aic232 Obrir en finestra nova
Resum
Artificial intelligence techniques, including machine learning methods, and statistical techniques have shown promising results as decision support tools, because of their capabilities of knowledge discovery, heuristic reasoning and working with uncertain and qualitative information. Wastewater treatment plants are complex environmental processes that are difficult to manage and control. This paper discusses the qualitative and quantitative performance of several machine learning and statistical...
Paraules clau
Knowledge discovery, case-based learning, decision trees, instance-based learning, machine learning, rule induction, statistical clustering and rule induction, wastewater treatment
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
KEMLG - Grup d´Enginyeria del Coneixement i Aprenentatge Automàtic

Participants