Interval Forecast of Water Quality Parameters

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2010

Autores

Orlando Ohashi (Autor) Outra; Luis Torgo (Autor) FCUP; Rita P Ribeiro (Autor) Outra

Ata de Conferência Internacional

Título: ECAI 2010 - 19TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE

Páginas: 283-288

19th European Conference on Artificial Intelligence (ECAI)/6th Conference on Prestigious Applications of Intelligent Systems (PAIS)

Lisbon, PORTUGAL, AUG 16-20, 2010

Indexação

ISI Web of Knowledge - 1 Citação

Scopus - 1 Citação

Classificação Científica

FOS: Ciências exactas e naturais > Ciências da computação e da informação

Outras Informações

ID Authenticus: P-003-AM4

DOI: 10.3233/978-1-60750-606-5-283

Abstract (EN): The current quality control methodology adopted by the water distribution service provider in the metropolitan region of Porto - Portugal, is based on simple heuristics and empirical knowledge. Based on the domain complexity and data volume, this application is a perfect candidate to apply data mining process. In this paper, we propose a new methodology to predict the range of normality for the values of different water quality parameters. These intervals of normality are of key importance to decide on costly inspection activities. Our experimental evaluation confirms that our proposal achieves good results on the task of forecasting the normal distribution of values for the following 30 days. The proposed method can be applied to other domains with similar network monitoring objectives.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6