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Beijing: Renmin University of China, 2005."},{"key":"e_1_3_2_1_28_1","volume-title":"Research on the Application of Decision Tree Model in Soybean Futures Price Trend Forecast[D]","author":"Ying Wang","year":"2021","unstructured":"Wang Ying . Research on the Application of Decision Tree Model in Soybean Futures Price Trend Forecast[D] . Northwest Normal University , 2021 .DOI:10.27410\/d.cnki.gxbfu.2021.002135. 10.27410\/d.cnki.gxbfu.2021.002135 Wang Ying. Research on the Application of Decision Tree Model in Soybean Futures Price Trend Forecast[D]. Northwest Normal University, 2021.DOI:10.27410\/d.cnki.gxbfu.2021.002135."},{"key":"e_1_3_2_1_29_1","volume-title":"Research on Stock Market Analysis and Prediction Based on EEMD and XGBoost Algorithms [D]","author":"Jing Yi","year":"2020","unstructured":"Yi Jing . Research on Stock Market Analysis and Prediction Based on EEMD and XGBoost Algorithms [D] . Shandong : Shandong University , 2020 . Yi Jing. 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