TY - CHAP
T1 - Data mining methods for quality assurance in an environmental monitoring network
AU - Athanasiadis, Ioannis N.
AU - Rizzoli, Andrea Emilio
AU - Beard, Daniel W.
PY - 2010
Y1 - 2010
N2 - The paper presents a system architecture that employs data mining techniques for ensuring quality assurance in an environmental monitoring network. We investigate how data mining techniques can be incorporated in the quality assurance decision making process. As prior expert decisions are available, we demonstrate that expert knowledge can be effectively extracted and reused for reproducing human experts decisions on new data. The framework is demonstrated for the Saudi Aramco air quality monitoring network and yields trustworthy behavior on historical data. A variety of data-mining algorithms was evaluated, resulting to an average predictive accuracy of over 80%, while best models reached 90% of correct decisions.
AB - The paper presents a system architecture that employs data mining techniques for ensuring quality assurance in an environmental monitoring network. We investigate how data mining techniques can be incorporated in the quality assurance decision making process. As prior expert decisions are available, we demonstrate that expert knowledge can be effectively extracted and reused for reproducing human experts decisions on new data. The framework is demonstrated for the Saudi Aramco air quality monitoring network and yields trustworthy behavior on historical data. A variety of data-mining algorithms was evaluated, resulting to an average predictive accuracy of over 80%, while best models reached 90% of correct decisions.
U2 - 10.1007/978-3-642-15825-4_60
DO - 10.1007/978-3-642-15825-4_60
M3 - Chapter
AN - SCOPUS:78049378495
SN - 9783642158247
T3 - Lecture Notes in Computer Science
SP - 451
EP - 456
BT - Artificial Neural Networks – ICANN 2010
A2 - Diamantaras, Konstantinos
A2 - Duch, Wlodek
A2 - Iliadis, Lazaros S.
PB - Springer
T2 - 20th International Conference on Artificial Neural Networks, ICANN 2010
Y2 - 15 September 2010 through 18 September 2010
ER -