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.

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Bibliographic Details

Title: Rainfall Prediction using Machine Learning Algorithm
Publisher: LAP LAMBERT Academic Publishing Jul 2019
Publication Date: 2019
Language: English
ISBN 10: 6200225125
ISBN 13: 9786200225122
Binding: Taschenbuch
Condition: Neu
Dimensions: 220 millimeters width by 150 millimeters height by 4 millimeters depth
Weight: 96 grams

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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

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