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Time series have been widely analyzed by statistical models (e.g., ARIMA) and machine learning techniques (e.g., LSTM). While the textbooks have provided detailed explanations on the individual models/techniques, it is relatively difficult to find a good example showing how to do a GOOD time series analysis, especially forecasting, on a complicated real-world problem.

我想知道是否:

  1. there are some reviews/surveys about HOW WELL the time series forecasting has been done in specific domains (e.g., stock movement, atmosphere forecasting, topic trend prediction, future sales).

  2. there are some good data mining competitions or projects on time series forecasting with example solutions so that I can refer to.

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    Muye Nanshan是一个新的贡献者。很好,看看我们的行为守则

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