Title :
A Biological Early Warning System for Toxicity Detection
Author :
Kim, Sung Yong ; Kwon, Ki Yong ; Lee, Won Don
Author_Institution :
Dept. of Comput. Sci., Chungnam Nat. Univ., Daejeon, South Korea
Abstract :
Biological early warning systems (BEWS) for toxicity detection is developed. BEWS detect toxicity by tracking actions of the whole creatures in aqua. Collected data have created some noise, and therefore can decrease the performance of prediction. In the paper, a noise reduction is scheme is devised to improve the performance of the prediction. The experiment result shows the decreased error rate by the new method, and is far better than that of the former BEWS system.
Keywords :
data handling; environmental science computing; water pollution; biological early warning system; noise reduction; toxicity detection; Alarm systems; Biology computing; Classification algorithms; Classification tree analysis; Computer science; Decision trees; Fractals; Rain; Testing; Training data; Biological early warning systems;
Conference_Titel :
INC, IMS and IDC, 2009. NCM '09. Fifth International Joint Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-5209-5
Electronic_ISBN :
978-0-7695-3769-6
DOI :
10.1109/NCM.2009.358
