DocumentCode
1661743
Title
Investigation of sewage quality data using machine learning
Author
Robertson, Neil ; Shankararaman, Venky ; George, S. ; Stentz, R.M.
Author_Institution
Dept. of Comput. Sci., Hertfordshire Univ., Hatfield, UK
Volume
2
fYear
1999
fDate
6/21/1905 12:00:00 AM
Firstpage
564
Abstract
Presents an ongoing research effort in the application of machine learning, in particular, rule induction, to the classification of sewage quality data. The motivation, description of data sets used, experiments conducted and critical analysis of results are presented. The paper also presents future work required to improve the results obtained in the experiments
Keywords
learning (artificial intelligence); pattern classification; water treatment; critical analysis; data classification; machine learning; rule induction; sewage quality data; Board of Directors; Computer science; Educational institutions; Electronic noses; Laboratories; Machine learning; Monitoring; Polymers; Sensor arrays; Sensor phenomena and characterization;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location
Tokyo
ISSN
1062-922X
Print_ISBN
0-7803-5731-0
Type
conf
DOI
10.1109/ICSMC.1999.825322
Filename
825322
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