Title :
Scientific curve classification by combining simple algorithms
Author_Institution :
Dept. of Comput. Sci., Calgary Univ., Alta., Canada
Abstract :
The problem of classifying scientific data, in this case measurements from a respirometer, is addressed. The use of shape and of multiple classification algorithms operating on the same data is discussed. The combination of many diverse methods increases the reliability of the classifier and should allow a wider variety of input data to be processed.
Keywords :
biology computing; classification; data visualisation; water treatment; data visualization; input data; multiple classification algorithms; respirometer; scientific curve classification; scientific data classification; waste water treatment; Biological system modeling; Biology; Calibration; Classification algorithms; Cognitive informatics; Computer science; Inductors; Organisms; Shape measurement; Time measurement;
Conference_Titel :
Cognitive Informatics, 2002. Proceedings. First IEEE International Conference on
Print_ISBN :
0-7695-1724-2
DOI :
10.1109/COGINF.2002.1039301