• DocumentCode
    2145746
  • Title

    Development of Data Mining Platform MUSASHI Towards Service Computing

  • Author

    Ichikawa, Kohei ; Yada, Katsutoshi ; Washio, Takashi

  • Author_Institution
    Central Office for Inf. Infrastruct., Osaka Univ., Ibaraki, Japan
  • fYear
    2010
  • fDate
    14-16 Aug. 2010
  • Firstpage
    235
  • Lastpage
    240
  • Abstract
    The objective of this paper is to introduce further development of a data mining tool, MUSASHI (Mining Utilities and System Architecture for Scalable processing of HIstorical data), for service computing. Recent advances in information systems have allowed us to gather enormous amounts of data on marketing. However, these gathered data have been individually stored at each company, and have never been integrated because of a lack of techniques to analyze the data in an integrated way and to handle the large amount of data efficiently. To address this issue, we are currently investigating a way to provide a data mining platform as a service so that users can apply various data mining techniques to their marketing data with ease and at a low cost. For this purpose, we have developed an ASP platform leveraging distributed computing technology represented by Cloud computing. This paper describes the ASP platform for data mining services and introduces an empirical application of data mining using our platform.
  • Keywords
    Internet; data mining; information systems; marketing; ASP platform leveraging distributed computing technology; MUSASHI; cloud computing; data mining platform; information systems; marketing; service computing; Cloud computing; Clouds; Computer architecture; Data mining; Distributed databases; Marketing and sales; Servers; ASP; Cloud computing; Data mining; Service computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing (GrC), 2010 IEEE International Conference on
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-4244-7964-1
  • Type

    conf

  • DOI
    10.1109/GrC.2010.168
  • Filename
    5576082