• DocumentCode
    176414
  • Title

    Design and implementation of data mining platform based on the cloud computing

  • Author

    Zhu Jia ; Zhang Ping

  • Author_Institution
    Shandong Inst. of Commerce & Technol., Jinan, China
  • fYear
    2014
  • fDate
    29-30 Sept. 2014
  • Firstpage
    163
  • Lastpage
    165
  • Abstract
    In recent years, with the rapid development of modern information technology, now the amount of data produced every 18 months is about equal to the sum of the past thousands of years and it has a rising trend. So much data will undoubtedly bring people a vast amount of information, but the difficulty of finding useful knowledge for the enterprise or individual from the vast amount of data has increased. And cloud computing platform can perform dynamic resource scheduling and allocation, with the characteristics of highly virtualization and high availability, which meets the needs of efficient data mining. The cloud computing technology combined with the existing data mining technology has been regarded as a kind of feasible way for efficiency.
  • Keywords
    cloud computing; data mining; dynamic scheduling; resource allocation; virtualisation; cloud computing platform; cloud computing technology; data mining platform; dynamic resource allocation; dynamic resource scheduling; information technology; virtualization; Business; Cloud computing; Computational modeling; Data mining; Data models; Distributed databases; Parallel processing; cloud computing; data mining; design and implementation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Research and Technology in Industry Applications (WARTIA), 2014 IEEE Workshop on
  • Conference_Location
    Ottawa, ON
  • Type

    conf

  • DOI
    10.1109/WARTIA.2014.6976220
  • Filename
    6976220