• DocumentCode
    120017
  • Title

    Table of contents

  • fYear
    2014
  • fDate
    4-6 July 2014
  • Abstract
    The following topics are dealt with: numerical algorithm and analysis; computational simulation and analysis; computational engineering; computational intelligence and computational finance; game theory and stochastic optimization; finance and industrial optimization; managerial and engineering optimization; supply chain and operation management; spatial computational sciences and applications; computational business science; optimization methods and applications; decision making under uncertainty; artificial intelligence with business applications; data analysis and data mining; supply chain integration and BI; asset pricing and financial risk management; financial engineering and its applications; low-carbon economy and carbon finance; business intelligence with case-based computing; innovation management and numerical algorithms; social media content quantification; computational finance; and optimization-based decision making.
  • Keywords
    artificial intelligence; competitive intelligence; data analysis; data mining; decision making; finance; numerical analysis; optimisation; artificial intelligence; asset pricing; business intelligence; carbon finance; case-based computing; computational business science; computational engineering; computational finance; computational intelligence; computational simulation; data analysis; data mining; engineering optimization; financial engineering; financial risk management; game theory; industrial optimization; innovation management; low carbon economy; numerical algorithm; numerical analysis; operation management; optimization-based decision making; social media content quantification; spatial computational sciences; stochastic optimization; supply chain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2014 Seventh International Joint Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-5371-4
  • Type

    conf

  • DOI
    10.1109/CSO.2014.4
  • Filename
    6923619