On Present Use Of Machine Learning Based Automation In Finance
KMIS: PROCEEDINGS OF THE 11TH INTERNATIONAL JOINT CONFERENCE ON KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT, VOL 3: KMIS(2019)
摘要
In this paper, we survey the current known applications of Machine Learning based Data Analytics and automation in finance industry. We look into the challenges involved in furthering this technology, particularly in employing more Deep Learning approaches proven for successful automation in other domains. We enumerate observations on some of the barriers faced by the industry in effectively adopting and accelerating use of AI techniques, and finally propose more areas that we believe could further benefit from application of Machine Learning.
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关键词
Data Analytics, Big Data, Artificial Intelligence (AI), Machine Learning, Deep Learning, Natural Language Processing, Artificial Neural Networks (ANN), Gradient Boosted Ensembles (GBM), Market Prediction, Portfolio Selection, Algorithmic Trading, Statistical Models, Biases, Data Confinement, Transfer Learning, Model Locality, Interpretability, Explainable AI
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