• DocumentCode
    123332
  • Title

    Chances and challenges confronting securities industry and the countermeasures in big data and cloud computing era

  • Author

    Li Ma ; Mingfeng Jiang

  • Author_Institution
    Sch. of Bus., Dalian Univ. of Technol., Dalian, China
  • fYear
    2014
  • fDate
    22-24 Aug. 2014
  • Firstpage
    177
  • Lastpage
    182
  • Abstract
    Along with the more and more application of big data mining based on cloud computing in economic life worldwidely, it has also brought revolution to securities industry. This paper firstly reviews the relevant studies on big data, cloud computing and their applications in securities industry, then with the SWOT analysis method, illustrates the strength of big data mining along with the chances it has brought to securities industry, as well as its inherent weakness and challenges facing with securities industry. Then it investigates the status quo and puts forward the related countermeasures for domestic securities industry to develop big data mining. Finally it summarizes the research and proposes outlooks.
  • Keywords
    Big Data; cloud computing; data mining; economics; securities trading; Big Data; SWOT analysis; cloud computing; data mining; economic life; securities industry; Big data; Blogs; Computers; Electronic publishing; Encyclopedias; Internet; Big data; cloud computing; countermeasures; data mining; securities industry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2014 9th International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    978-1-4799-2949-8
  • Type

    conf

  • DOI
    10.1109/ICCSE.2014.6926450
  • Filename
    6926450