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We perform demand forecasting to optimize inventory for a retail chain. Which method is best suited to capture long-term seasonal variations and time-series dependencies?
①Prediction using simple linear regression
②Decision tree-based classification model
③A method to directly predict demand using clustering
④Time series forecasting using recurrent neural networks such as LSTM
⑤Predicting similar users using collaborative filtering