• DocumentCode
    2807624
  • Title

    Research on Service Usage Pattern Mining Method in the Distributed Context

  • Author

    Zhu Hong-Kang ; Yu Xue-li

  • Author_Institution
    Sch. of Comput. Sci.& Software Eng., TaiYuan Univ. of Technol., Taiyuan, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Composite service selection is a research difficulties in service-oriented computing domain. Most selection approaches are based on service QoS information which is difficult to acquire accurately. In this paper, a distributed Web service usage pattern mining infrastructure based on services execution information is proposed. In order to meet the cross-organizational associated business requirement, a service registry federation mechanism is presented. Then, a distributed algorithm of composite service frequent sequential mining within registry federation is described. In the end, some simulation results are demonstrated to show the effectiveness of the proposed method.
  • Keywords
    Web services; data mining; distributed algorithms; distributed Web service; distributed algorithm; frequent sequential mining; pattern mining method; service registry federation mechanism; service usage infrastructure; services execution information; Association rules; Computer science; Context-aware services; Data mining; Distributed computing; Distributed databases; Libraries; Software engineering; Web and internet services; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5362808
  • Filename
    5362808