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- W4223968081 abstract "Weather forecasting has been one of the most difficult scientific and technology issues in the previous century all over the planet. Forecasting the weather includes a variety of activities. forecasting how the atmosphere's current condition will change. With the usage of in this project, the sample dataset was used to test data mining approaches for weather forecasting utilizing the Time series algorithm with SARIMAX. Big data analysis entails analyzing a large data set. It is made up of several forms of data. Big data stores a lot of information. that data is processed Traditional data analysis can only deal with structured data, whereas modern data analysis can deal with both structured and unstructured data. data that isn't structured Both organized and unstructured data may be processed using big data. Machine learning uses a variety of datasets in many dimensions with the potential to predict outcomes.to be used on software that organizes, gathers, and analyses data in general accurately." @default.
- W4223968081 created "2022-04-19" @default.
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- W4223968081 date "2022-03-29" @default.
- W4223968081 modified "2023-09-25" @default.
- W4223968081 title "Smart Weather Forecasting using Machine Learning Approach" @default.
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- W4223968081 doi "https://doi.org/10.1109/iccmc53470.2022.9754024" @default.
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