From: gerrywolff65@gmail.com   
      
   An article published recently in the journal IEEE Access describes how the SP   
   theory of intelligence may help to solve problems associated with big data:   
      
        "Big data and the SP theory of intelligence" (PDF, IEEE Access, 2,   
             301-315, 2014, bit.ly/1jGWXDH).   
      
   Problems and potential solutions that are discussed are:   
      
   * How to overcome the problem of variety in big data.   
   * Learning and discovery with big data.   
   * Interpretation of data: How the SP system may serve in pattern recognition,   
      parsing and production of natural language, and more.   
   * Velocity: How the SP system may be applied to the analysis of streaming data.   
   * Volume: How information compression in the SP system may make big data   
   smaller,   
      with several resulting benefits.   
   * How to achieve big gains in efficiency in the transmission of data.   
   * How to improve computational efficiency, with corresponding cuts in the use   
   of energy   
      and in the size and weight of computers.   
   * Veracity: How the SP system may help in the management of errors and   
   uncertainties in big data.   
   * Visualisation: How the SP system may facilitate the visualisation of   
   knowledge structures   
      and the visualisation of inferential processes.   
      
   Comments or questions will be very welcome.   
      
   Gerry Wolff   
      
   --   
      
   Dr Gerry Wolff PhD CEng   
      
   CognitionResearch.org, Email: jgw AT cognitionresearch DOT org, Phone: +44 (0)   
   1248 712962, +44 (0) 7746 290775, Skype: gerry.wolff, Web: www.c   
   gnitionresearch.org.   
      
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