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
fDate :
6/21/1905 12:00:00 AM
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;
Conference_Titel :
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-5731-0
DOI :
10.1109/ICSMC.1999.825322
