Toward autonomic distributed data mining with intelligent web services

This paper defines a new approach in building Web-service-based infrastructure for a distributed data mining applications. Proposed architecture provides a roadmap for "autonomic" functionality of the infrastructure hiding the complexity of the implementation details and enabling the user with a new level of creativity and innovation in a data mining process. Web services based infrastructure will deliver all required data mining activities in a utility-like fashion enabling heterogeneous components to be cooperated in a unified manner. Moreover, this service-based structure will allow the implementation of data mining algorithms for processing data on more than one source in a distributed manner. The key goals of proposed data-mining framework are to make overall structure: dynamic, scalable, transparent, autonomic, and extensible.