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Sinopsis
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.
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Reseña del editor
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.
Biografía del autor
Mr. Shailendra Madansing Pardeshi,Assistant Professor, Information Technology Department,R. C. Patel Institute of Technology, Shirpur.
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Predicting Trends in Air Pollution
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LAP LAMBERT Academic Publishing Jan 2018, 2018
ISBN 10: 6202010592
ISBN 13: 9786202010597
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 52 pp. Englisch. Nº de ref. del artículo: 9786202010597
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Predicting Trends in Air Pollution
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ISBN 10: 6202010592
ISBN 13: 9786202010597
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9786202010597
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Predicting Trends in Air Pollution
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ISBN 13: 9786202010597
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Predicting Trends in Air Pollution
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ISBN 10: 6202010592
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Pardeshi ShailendraMr. Shailendra Madansing Pardeshi,Assistant Professor, Information Technology Department,R. C. Patel Institute of Technology, Shirpur.Over the past years the development and urbanization in Delhi has led to inc. Nº de ref. del artículo: 385901491
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Predicting Trends in Air Pollution
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ISBN 13: 9786202010597
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. Nº de ref. del artículo: 9786202010597
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Taschenbuch. Condición: Neu. Predicting Trends in Air Pollution | Shailendra Pardeshi | Taschenbuch | 52 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786202010597 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 111512740
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