Knowledge Elicitation through Web-Based Data Mining Services
LSO '01 Proceedings of the Third International Workshop on Advances in Learning Software Organizations
Supporting the optimisation of distributed data mining by predicting application run times
Enterprise information systems IV
An interoperable and scalable Web-based system for classifier sharing and fusion
Expert Systems with Applications: An International Journal
A Study on Mobile Agent Based Resource Management in Grid
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
APHID: An architecture for private, high-performance integrated data mining
Future Generation Computer Systems
Mining frequent agent action patterns for effective multi-agent-based web service composition
ADMI'11 Proceedings of the 7th international conference on Agents and Data Mining Interaction
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This paper presents our hybrid architectural model for Distributed Data Mining (DDM), which is tailored to meet the needs of e-businesses where application service providers sell DDM services to e-commerce users and systems. The hybrid architecture integrates the client-server and the mobile agent technologies. This model focuses on the optimization and costing issues of DDM, which are particularly relevant in the context of billing users for data mining services.