Predicting Trends in Air Pollution - Pardeshi, Shailendra
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Over the past years the development and urbanization in Delhi has led to increase in air pollution. This has led to study and research in this area. Data mining is used to analyze the existing trends in air pollution in Delhi for making prediction about the future. The data mining techniques used are linear regression and multilayer percep- tron. There are trends of various air pollutants like sulphur dioxide(SO2), nitrogen dioxide (NO2), particulate matter (PM), carbon monoxide (CO), ozone (O3). By using the above techniques it is observed that there will be an increase in amount of PM10 by 45.9 percent in coming years.…mehr

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Produktbeschreibung
Over the past years the development and urbanization in Delhi has led to increase in air pollution. This has led to study and research in this area. Data mining is used to analyze the existing trends in air pollution in Delhi for making prediction about the future. The data mining techniques used are linear regression and multilayer percep- tron. There are trends of various air pollutants like sulphur dioxide(SO2), nitrogen dioxide (NO2), particulate matter (PM), carbon monoxide (CO), ozone (O3). By using the above techniques it is observed that there will be an increase in amount of PM10 by 45.9 percent in coming years.
Autorenporträt
Herr Shailendra Madamsing Pardeshi, Assistenzprofessor, Abteilung Informationstechnologie, R C Patel Institute of Technology, Shirpur