The XML handbook
Data mining models as services on the internet
ACM SIGKDD Explorations Newsletter
Federated Data Mining Services and a Supporting XML-Based Language
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 3 - Volume 3
An Architecture to Support Distributed Data Mining Services in E-Commerce Environments
WECWIS '00 Proceedings of the Second International Workshop on Advance Issues of E-Commerce and Web-Based Information Systems (WECWIS 2000)
On the Status of Learning Software Organizations in the Year 2001
LSO '01 Proceedings of the Third International Workshop on Advances in Learning Software Organizations
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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.