Knowledge-Driven Stock Trend Prediction and Explanation via Temporal Convolutional Network
Author:
Affiliation:
1. Zhejiang Univ, AZFT
2. Alibaba Group, China
3. Zhejiang University, AZFT Joint Lab for Knowledge Engine, China
4. University of Oxford, United Kingdom
5. University of Aberdeen, United Kingdom
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3308560.3317701
Reference45 articles.
1. Deep learning for stock prediction using numerical and textual information
2. Dimitrios Asteriou and Stephen G. Hall. 2011. ARIMA Models and the Box-Jenkins Methodology. Dimitrios Asteriou and Stephen G. Hall. 2011. ARIMA Models and the Box-Jenkins Methodology.
3. Shaojie Bai J. Zico Kolter and Vladlen Koltun. 2018. An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling. (2018). Shaojie Bai J. Zico Kolter and Vladlen Koltun. 2018. An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling. (2018).
4. Or Biran and Kathleen R McKeown. 2017. Human-Centric Justification of Machine Learning Predictions.. In IJCAI. 1461–1467. Or Biran and Kathleen R McKeown. 2017. Human-Centric Justification of Machine Learning Predictions.. In IJCAI. 1461–1467.
5. Freebase
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