• DocumentCode
    3522996
  • Title

    Web Services Integration on Data Mining Based on SOA

  • Author

    Li, Jin ; Song, Bo

  • Author_Institution
    Software Coll., Shenyang Normal Univ., Shenyang, China
  • fYear
    2010
  • fDate
    28-29 Oct. 2010
  • Firstpage
    532
  • Lastpage
    534
  • Abstract
    Data mining and scoring tool providers require users to use provider-specific ways to invoke their services. The provider-specific approach could be a major factor affecting why data mining tools and applications are not currently as widespread as one might hope. However, SOA can implements the loose coupling between the services provider and services consumer. Using Web service protocol (such as SOAP, WSDL and UDDI), the data mining task can be encapsulated into a standard Web services. Services consumer can dynamically bound different services provider based on Web services, which implements the integration of data mining applications with data mining and scoring tool. The Java Data Mining API (JDM) is the first attempt to create a standard Java API to access data-mining tools from Java applications. A new service discovery model where quality of service is taken as constraints when searching for Web services would give some confidence to the Web service consumers about the quality of the service they are about to invoke.
  • Keywords
    Java; Web services; application program interfaces; data mining; service-oriented architecture; API; Java; SOA; Web services; data mining; service consumer; service oriented architecture; service provider; Data mining; Data models; Java; Quality of service; Service oriented architecture; Simple object access protocol; java data mining; quality of service; servcice oriented architecture; service integration; web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligence Information Processing and Trusted Computing (IPTC), 2010 International Symposium on
  • Conference_Location
    Huanggang
  • Print_ISBN
    978-1-4244-8148-4
  • Electronic_ISBN
    978-0-7695-4196-9
  • Type

    conf

  • DOI
    10.1109/IPTC.2010.147
  • Filename
    5663638