Deng, ShuminZhang, NingyuZhang, WenChen, JiaoyanPan, Jeff Z.Chen, HuajunLiu, LingWhite, Ryen2019-07-012019-07-012019-05-13Deng, S, Zhang, N, Zhang, W, Chen, J, Pan, J Z & Chen, H 2019, Knowledge-driven stock trend prediction and explanation via temporal convolutional network. in L Liu & R White (eds), Companion Proceedings of the 2019 World Wide Web Conference (WWW ’19 Companion). Association for Computing Machinery, Inc, New York, pp. 678-685, 2019 World Wide Web Conference, WWW 2019, San Francisco, United States, 13/05/19. https://doi.org/10.1145/3308560.3317701conference9781450366755Mendeley: ff665844-6744-3842-9d94-17857d0bd15fhttp://hdl.handle.net/2164/12473The authors would like to acknowledge that this work is funded by NSFC 61473260/91846204, national key research program YS2018YFB140004 as well as Natural Science Foundation of Zhejiang Province of China (LQ19F030001), and supported by Alibaba-Zhejiang University Joint Institute of Frontier Technologies.81062481engEvent extractionExplanationKnowledge-drivenPredictive analyticsStock trend predictionStructuredUnstructuredREPRESENTATIONSpredictive analyticsstock trend predictionexplanationevent extractionunstructuredstructuredQA75 Electronic computers. Computer scienceSoftwareComputer Networks and CommunicationsQA75Conference item10.1145/3308560.3317701http://www.scopus.com/inward/record.url?scp=85066884024&partnerID=8YFLogxKhttp://dl.acm.org/citation.cfm?doid=3308560.3317701http://www.mendeley.com/research/knowledgedriven-stock-trend-prediction-explanation-via-temporal-convolutional-network