GUO Ping
School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China;Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing 100875, ChinaWANG Ke
School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, ChinaLUO A-Li
Key Laboratory of Optical Astronomy, National Astronomical Observatories, The Chinese Academy of Sciences, Beijing 100012, ChinaXUE Ming-Zhi
School of Mathematics and Information Sciences, Shangqiu Normal University, Shangqiu 476000, ChinaBig data and its real-world applications have attracted a lot of attention with the explosive growth of data volumes not only in the academic but also in industrial. Big data analysis aimed at mining the potential value of big data has become a popular research topic. Computational intelligence (CI) which is an important research direction of artificial intelligence and information science has been shown to be promising to solve complex problems in scientific research and engineering. CI techniques are expected to provide powerful tools for addressing challenges in big data analytics. This paper surveys the related CI techniques, analyzes the grand challenges brought forth by big data from big data analysis perspectives, and discusses the possible research directions in the future of the big data era. Further, it proposes to conduct the research of big data analysis on scientific big data such as astronomy big data.
郭平,王可,罗阿理,薛明志.大数据分析中的计算智能研究现状与展望.软件学报,2015,26(11):3010-3025
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