Titlebook: Database and Expert Systems Applications; 33rd International C Christine Strauss,Alfredo Cuzzocrea,Ismail Khalil Conference proceedings 202

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https://doi.org/10.1007/978-1-4614-4388-9 Time-series forecasting has been extensively studied. Many existing forecasting models tend to perform well when predicting short sequence time-series. However, their performances greatly degrade when dealing with the long one. Recently, more dedicated research has been done for this direction, and

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David Roessner,Lynne Manrique,Jongwon ParkFrom a developer’s point of view, we want to use a framework to automate creating persistent storage models and to map the entities between storage and backend. However, not all such frameworks offer sufficient authorization support. From a scientist’s perspective, we want to generally combine the f

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https://doi.org/10.1007/978-1-4614-4388-9opment of recurrent neural networks enables systems to better process sequence information to capture users’ long-term preferences. While it cannot effectively utilize both long-term and short-term preferences. In this paper, we propose a novel double-layer attention mechanism mode, which not only i