• DocumentCode
    3613208
  • Title

    IEEE Access Special Session Editorial: Big Data Services and Computational Intelligence for Industrial Systems

  • Author

    Zhou, Zhangbing ; Gaaloul, Walid ; Hung, Patrick C. K. ; Shu, Lei ; Tan, Wei

  • Author_Institution
    , China University of Geosciences, Beijing, China
  • Volume
    3
  • fYear
    2015
  • fDate
    7/7/1905 12:00:00 AM
  • Firstpage
    3085
  • Lastpage
    3088
  • Abstract
    The pervasive nature of big data technologies as witnessed in industry services and everyday life has given rise to an emergent, data-focused economy stemming from many aspects of industrial applications. The richness and vastness of these services are creating unprecedented research opportunities in a number of industrial fields including public health, urban studies, economics, finance, social science, and geography. We are moving towards the era of Big Data Services, which are deployed in a multi-scale complex distributed architecture. These services can be formed a high-level computational intelligence based on emerging analytical techniques such as big data analytics and web analytics. In this context, computational intelligence employs software tools from advanced analytics disciplines such as data mining, predictive analytics, and machine learning. At the same time, it becomes increasingly important to anticipate technical and practical challenges and to identify best practices learned through experience. This special session has included nine papers, and a brief summary about each paper is presented as follows.
  • Keywords
    Big data; Computational intelligence; Finance; Geography; Public healthcare; Special issues and sections;
  • fLanguage
    English
  • Journal_Title
    Access, IEEE
  • Publisher
    ieee
  • ISSN
    2169-3536
  • Type

    jour

  • DOI
    10.1109/ACCESS.2016.2516178
  • Filename
    7389477