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- W3119716201 abstract "The stock’s closing price is the standard benchmark used by investors to track the stock performance over time. In particular, understanding the trend of the stock’s closing prices is of fundamental importance to choose investments carefully. In this paper, we address the task of forecasting closing prices of Exprivia S.p.A.’s stock by comparing the performance of both traditional and deep machine learning methods. Preliminary experiments show that the multi-variate setting can significantly outperform the univariate one and that deep learning can gain accuracy compared to traditional machine learning methods in the considered task." @default.
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- W3119716201 date "2021-01-01" @default.
- W3119716201 modified "2023-09-26" @default.
- W3119716201 title "Applying Machine Learning to Predict Closing Prices in Stock Market: A Case Study" @default.
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- W3119716201 doi "https://doi.org/10.1007/978-3-030-66981-2_3" @default.
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