Wade, M.J. and Katebi, M.R. (2002) Data mining and knowledge extraction in wastewater treatment plants. In: IEE Seminar Developments in Control Systems in the Water Industry, 2002-11-13, London.
Full text not available in this repository. (Request a copy from the Strathclyde author)Official URL: http://dx.doi.org/10.1049/ic:20020301
Abstract
Data mining may be described as the science of extracting information from large data sets or databases. The scope of data mining is huge, being an important tool in many fields, such as government statistics, healthcare, astronomy, chemistry and business. Because of its high dimensionality and large information base, it is reasonable to assume that the data mining procedure can be effectively used in the field of wastewater treatment.
| Item type: | Conference or Workshop Item (Paper) |
|---|---|
| ID code: | 38363 |
| Keywords: | data mining, knowledge extraction, wastewater, treatment plants, Electrical engineering. Electronics Nuclear engineering |
| Subjects: | Technology > Electrical engineering. Electronics Nuclear engineering |
| Department: | Faculty of Engineering > Electronic and Electrical Engineering |
| Related URLs: | |
| Depositing user: | Pure Administrator |
| Date Deposited: | 09 Mar 2012 14:55 |
| Last modified: | 04 Oct 2012 17:11 |
| URI: | http://strathprints.strath.ac.uk/id/eprint/38363 |
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