Interval Forecast of Water Quality Parameters

• Type: Article in International Conference Proceedings Book
• Date: 2010

Authors

Orlando Ohashi (Author) Other; Luis Torgo (Author) FCUP; Rita P Ribeiro (Author) Other

Conference proceedings International

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

Pages: 283-288

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

Lisbon, PORTUGAL, AUG 16-20, 2010

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 1 Citation

Scientific classification

FOS: Natural sciences > Computer and information sciences

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6