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dc.contributor.authorPellakuri, Vidyullatha-
dc.contributor.authorRao, D. Rajeswara-
dc.contributor.authorNarayana, Lakshmi-
dc.date.accessioned2025-01-22T05:37:08Z-
dc.date.available2025-01-22T05:37:08Z-
dc.date.issued2015-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/2820-
dc.descriptionNITWen_US
dc.description.abstractNow a day’s Data Mining process is implemented in different applications by using various tools and methods. Data mining tools are user-friendly and allow the knowledge driven decisions. For effective and efficient data representation and visualizations these tools are applied. WEKA is such tool which is easily implemented for any data streams such as medical, environmental, spatial, text, web, etc. This paper throws some light on prediction of air pollutants in environmental data for forthcoming year using data mining tool WEKA. The air pollutants data was collected from the power industry in Andhra Pradesh and forecasting the pollutants for forthcoming year. Using WEKA, data is analyzed by correlations and linear regression model within a short time period.en_US
dc.language.isoenen_US
dc.publisherInternational Journal of Applied Engineering Researchen_US
dc.subjectData Miningen_US
dc.subjectWEKAen_US
dc.titleApplying Regression Technique On Environmental Data By WEKAen_US
dc.typeArticleen_US
Appears in Collections:Mechanical Engineering

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