A data-mining approach to predict influent quality

Environmental Monitoring and Assessment

Volumn 185, Issue 3, 2013, Pages 2197-2210

  Kusiak, Andrew ^a   Verma, Anoop ^a   Wei, Xiupeng ^a  

^a IA United States   (United States)

Author keywords

CBOD; Data mining; Influent; Prediction; Wastewater treatment

Indexed keywords

CARBONACEOUS BIOCHEMICAL OXYGEN DEMANDS; CBOD; CLASSIFICATION AND REGRESSION TREE; FUNCTIONAL RELATIONSHIP; INFLUENT; MULTI-LAYERED PERCEPTRON; MULTIVARIATE ADAPTIVE REGRESSION SPLINES; WASTEWATER TREATMENT PLANTS;

ALGORITHMS; BIOCHEMICAL OXYGEN DEMAND; DECISION TREES; DIGITAL STORAGE; ENERGY MANAGEMENT; FORECASTING; WASTEWATER TREATMENT; WATER QUALITY;

DATA MINING;

HYDROGEN;

ALGORITHM; BIOCHEMICAL OXYGEN DEMAND; DATA ACQUISITION; DATA MINING; PREDICTION; WASTE FACILITY; WASTE TREATMENT; WASTEWATER; WATER QUALITY; WATER TREATMENT;

ALGORITHM; ARTICLE; BIOCHEMICAL OXYGEN DEMAND; CARBONACEOUS BIOCHEMICAL OXYGEN DEMAND; ENVIRONMENTAL MONITORING; INFLUENT WATER QUALITY; PREDICTION; SEASONAL VARIATION; SUSPENDED PARTICULATE MATTER; WASTE WATER; WASTE WATER TREATMENT PLANT; WATER QUALITY; DATA MINING; METHODOLOGY; SEWAGE; STANDARD; STATISTICS; WATER POLLUTANT; WATER POLLUTION;

DATA MINING; ENVIRONMENTAL MONITORING; WASTE DISPOSAL, FLUID; WASTE WATER; WATER POLLUTANTS, CHEMICAL; WATER POLLUTION, CHEMICAL; WATER QUALITY;

MLCS; MLOWN;

EID: 84874989716     PISSN: 01676369     EISSN: 15732959     Source Type: Journal    
DOI: 10.1007/s10661-012-2701-2     Document Type: Article

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