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Knowledge Elicitation through Web-Based Data Mining Services

  • Shonali Krishnaswamy
  • Seng Wai Loke
  • Arkady Zaslavsky
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2176)

Abstract

Knowledge is a vital component for organisational growth and data mining provides the technological basis for automated knowledge elicitation from data sources. The emergence of Application Service Providers hosting Internet-based data mining services is being seen as a viable alternative for organisations that value their knowledge resources but are constrained by the high cost of data mining software. In this paper, we present two alternative models of organisation for data mining service providers. We use the interaction protocols between organisations requiring data mining services and the service providers to motivate the need for specification of data mining task requests that adequately represent the requirements and constraints of the clients and also illustrate the importance of description mechanisms for data mining systems and services in order to support Internet delivery of such services. We present an XML-based approach for describing both, data mining task requests and the functionality and services of data mining service providers.

Keywords

Service Provider Mobile Agent Document Type Definition Data Mining Task Data Mining Process 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Shonali Krishnaswamy
    • 1
  • Seng Wai Loke
    • 2
  • Arkady Zaslavsky
    • 1
  1. 1.School of Computer Science and Software Engineering 900 Dandenong RoadMonash University Caulfield EastAustralia
  2. 2.School of Computer Science and Information TechnologyRMIT UniversityMelbourneAustralia

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