Big Data Analytics In Forecasting Lakes Levels

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Provided by: International Journal of Application or Innovation in Engineering & Management (IJAIEM)
Topic: Big Data
Format: PDF
Big data analytics can be used in the paper of developing forecasting models for predicting water levels of lakes. Auto-Regressive Integrated Moving Average (ARIMA) modeling is used for the study as it works well on time series values. Historical data which is large in size is stored with in big database. Various technologies are used to observe the pattern of historical data and predict the future levels by applying data-driven analytics and data mining concepts.
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