Data mining and knowledge extraction in wastewater treatment plants
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. (http://dx.doi.org/10.1049/ic:20020301)
Full text not available in this repository.Request a copyAbstract
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.
ORCID iDs
Wade, M.J. and Katebi, M.R. ORCID: https://orcid.org/0000-0003-2729-0688;-
-
Item type: Conference or Workshop Item(Paper) ID code: 38363 Dates: DateEventNovember 2002PublishedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 09 Mar 2012 14:55 Last modified: 11 Nov 2024 16:16 URI: https://strathprints.strath.ac.uk/id/eprint/38363
CORE (COnnecting REpositories)