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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…mehr

Produktbeschreibung
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
Autorenporträt
Le Dr Y Mohana Roopa travaille actuellement comme professeur de CSE, IARE Hyderabad. Elle a 18 ans d'expérience dans l'enseignement et la recherche et a guidé plus de 15 étudiants MTech. Elle a publié 15 articles dans diverses conférences nationales et internationales et 25 articles dans diverses revues internationales. Elle a publié deux livres.