Data mining and knowledge extraction in wastewater treatment plants

M.J. Wade; M.R. Katebi

doi:10.1049/ic:20020301

Data mining and knowledge extraction in wastewater treatment plants

M.J. Wade, M.R. Katebi

Electronic And Electrical Engineering

Research output: Contribution to conference › Paper

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.

Original language	English
DOIs	https://doi.org/10.1049/ic:20020301
Publication status	Published - Nov 2002
Event	IEE Seminar Developments in Control Systems in the Water Industry - London, United Kingdom Duration: 13 Nov 2002 → …

Conference

Conference	IEE Seminar Developments in Control Systems in the Water Industry
Country/Territory	United Kingdom
City	London
Period	13/11/02 → …

Keywords

data mining
knowledge extraction
wastewater
treatment plants

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10.1049/ic:20020301

Cite this

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AU - Wade, M.J.

AU - Katebi, M.R.

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AB - 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.

KW - data mining

KW - knowledge extraction

KW - wastewater

KW - treatment plants

UR - http://dx.doi.org/10.1049/ic:20020301

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DO - 10.1049/ic:20020301

M3 - Paper

T2 - IEE Seminar Developments in Control Systems in the Water Industry

Y2 - 13 November 2002

ER -

Data mining and knowledge extraction in wastewater treatment plants

Abstract

Conference

Keywords

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