Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200225125 ISBN 13: 9786200225122
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200225125 ISBN 13: 9786200225122
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200225125 ISBN 13: 9786200225122
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Jul 2019, 2019
ISBN 10: 6200225125 ISBN 13: 9786200225122
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -Rainfall prediction is one of the challenging tasks in weather forecasting. Accurate and timely rainfall prediction can be very helpful to take effective security measures in advance regarding: ongoing construction projects, transportation activities, agricultural tasks, flight operations and flood situation, etc. Data mining techniques can effectively predict the rainfall by extracting the hidden patterns among available features of past weather data. This research contributes by providing a critical analysis and review of latest data mining techniques, used for rainfall prediction. This review will serve the researchers to analyse the latest work on rainfall prediction with the focus on data mining techniques and also will provide a baseline for future directions and comparisons 52 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200225125 ISBN 13: 9786200225122
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 63,95
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Jul 2019, 2019
ISBN 10: 6200225125 ISBN 13: 9786200225122
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -Rainfall prediction is one of the challenging tasks in weather forecasting. Accurate and timely rainfall prediction can be very helpful to take effective security measures in advance regarding: ongoing construction projects, transportation activities, agricultural tasks, flight operations and flood situation, etc. Data mining techniques can effectively predict the rainfall by extracting the hidden patterns among available features of past weather data. This research contributes by providing a critical analysis and review of latest data mining techniques, used for rainfall prediction. This review will serve the researchers to analyse the latest work on rainfall prediction with the focus on data mining techniques and also will provide a baseline for future directions and comparisons.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200225125 ISBN 13: 9786200225122
Librería: Revaluation Books, Exeter, Reino Unido
EUR 73,66
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Añadir al carritoPaperback. Condición: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Jul 2019, 2019
ISBN 10: 6200225125 ISBN 13: 9786200225122
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - Rainfall prediction is one of the challenging tasks in weather forecasting. Accurate and timely rainfall prediction can be very helpful to take effective security measures in advance regarding: ongoing construction projects, transportation activities, agricultural tasks, flight operations and flood situation, etc. Data mining techniques can effectively predict the rainfall by extracting the hidden patterns among available features of past weather data. This research contributes by providing a critical analysis and review of latest data mining techniques, used for rainfall prediction. This review will serve the researchers to analyse the latest work on rainfall prediction with the focus on data mining techniques and also will provide a baseline for future directions and comparisons.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200225125 ISBN 13: 9786200225122
Librería: preigu, Osnabrück, Alemania
EUR 34,95
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Añadir al carritoTaschenbuch. Condición: Neu. Rainfall Prediction using Machine Learning Algorithm | Y. Mohana Roopa | Taschenbuch | 52 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200225122 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
ISBN 10: 6200225125 ISBN 13: 9786200225122
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Jul 2019, 2019
ISBN 10: 6200225125 ISBN 13: 9786200225122
Librería: Books-by-Floh, Paderborn, Alemania
EUR 49,85
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -Rainfall prediction is one of the challenging tasks in weather forecasting. Accurate and timely rainfall prediction can be very helpful to take effective security measures in advance regarding: ongoing construction projects, transportation activities, agricultural tasks, flight operations and flood situation, etc. Data mining techniques can effectively predict the rainfall by extracting the hidden patterns among available features of past weather data. This research contributes by providing a critical analysis and review of latest data mining techniques, used for rainfall prediction. This review will serve the researchers to analyse the latest work on rainfall prediction with the focus on data mining techniques and also will provide a baseline for future directions and comparisons 52 pp. Englisch.
ISBN 10: 6200225125 ISBN 13: 9786200225122
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Añadir al carritoCondición: As New. Unread book in perfect condition.
ISBN 10: 6200225125 ISBN 13: 9786200225122
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Añadir al carritoCondición: New.
ISBN 10: 6200225125 ISBN 13: 9786200225122
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Jul 2019, 2019
ISBN 10: 6200225125 ISBN 13: 9786200225122
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 39,90
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Rainfall prediction is one of the challenging tasks in weather forecasting. Accurate and timely rainfall prediction can be very helpful to take effective security measures in advance regarding: ongoing construction projects, transportation activities, agricultural tasks, flight operations and flood situation, etc. Data mining techniques can effectively predict the rainfall by extracting the hidden patterns among available features of past weather data. This research contributes by providing a critical analysis and review of latest data mining techniques, used for rainfall prediction. This review will serve the researchers to analyse the latest work on rainfall prediction with the focus on data mining techniques and also will provide a baseline for future directions and comparisons 52 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200225125 ISBN 13: 9786200225122
Librería: Majestic Books, Hounslow, Reino Unido
EUR 62,66
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200225125 ISBN 13: 9786200225122
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 63,63
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200225125 ISBN 13: 9786200225122
Librería: moluna, Greven, Alemania
EUR 34,25
Cantidad disponible: Más de 20 disponibles
Añadir al carritoKartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Roopa Y. MohanaDr. Y Mohana Roopa is currently working as Professor of CSE, IARE Hyderabad. She has 18 years of experience in teaching and research and has guided more than 15 MTech scholars. She has published 15 papers in various na.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Jul 2019, 2019
ISBN 10: 6200225125 ISBN 13: 9786200225122
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 39,90
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Rainfall prediction is one of the challenging tasks in weather forecasting. Accurate and timely rainfall prediction can be very helpful to take effective security measures in advance regarding: ongoing construction projects, transportation activities, agricultural tasks, flight operations and flood situation, etc. Data mining techniques can effectively predict the rainfall by extracting the hidden patterns among available features of past weather data. This research contributes by providing a critical analysis and review of latest data mining techniques, used for rainfall prediction. This review will serve the researchers to analyse the latest work on rainfall prediction with the focus on data mining techniques and also will provide a baseline for future directions and comparisonsVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.