WU Junjie1,3,4, LIU Guannan1, WANG Jingyuan2,3, ZUO Yuan1, BU Hui1, LIN Hao1
1. School of Economics and Management, Beihang University, Beijing 100191, China; 2. School of Computer Science, Beihang University, Beijing 100191, China; 3. Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing 100191, China; 4. Beijing Key Laboratory of Emergency Support Simulation Technologies for City Operations, Beijing 100191, China
Abstract：With the unprecedented development of big data and artificial intelligence, data intelligence has emerged as a focal point in both academia and industry. It features in a set of predictive data analytics methods gathered in a big-data driven and applications oriented manner, including data mining, machine learning, deep learning, etc. It aims to extract valuable patterns from big data generated inside and outside targeted application scenarios so as to enhance real-life management and decision-making levels. This paper thus focuses on introducing the recent advances in data intelligence, which is formulated as a cyclic system including three naturally integrated and mutually functional dimensions: Data, algorithms, and scenarios. We discuss the hot topics, growing trends, as well as research challenges in data intelligence, with our own comments and opinions aiming to provide guidance for entering the area of data intelligence and arouse peer discussions on this exciting field.
吴俊杰, 刘冠男, 王静远, 左源, 部慧, 林浩. 数据智能:趋势与挑战[J]. 系统工程理论与实践, 2020, 40(8): 2116-2149.
WU Junjie, LIU Guannan, WANG Jingyuan, ZUO Yuan, BU Hui, LIN Hao. Data intelligence: Trends and challenges. Systems Engineering - Theory & Practice, 2020, 40(8): 2116-2149.
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2020, Vol. 40 
