DocumentCode
2340480
Title
Scientific curve classification by combining simple algorithms
Author
Parker, J.R.
Author_Institution
Dept. of Comput. Sci., Calgary Univ., Alta., Canada
fYear
2002
fDate
2002
Firstpage
222
Lastpage
225
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Informatics, 2002. Proceedings. First IEEE International Conference on
Print_ISBN
0-7695-1724-2
Type
conf
DOI
10.1109/COGINF.2002.1039301
Filename
1039301
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