F-trade: an agent-mining symbiont for financial services
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Knowledge actionability: satisfying technical and business interestingness
International Journal of Business Intelligence and Data Mining
Building Agent Service Oriented Multi-Agent Systems
KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Agent-mining interaction: an emerging area
AIS-ADM'07 Proceedings of the 2nd international conference on Autonomous intelligent systems: agents and data mining
Ontological engineering in data warehousing
APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development
Agent services-driven plug-and-play in F-TRADE
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
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Traders and researchers in stock marketing often hold some private trading strategies. Evaluation and optimization of their strategies is a great benefit to them before they take any risk in realistic trading. We build an agent services-driven infrastructure: F-TRADE. It supports online plug in, iterative back-test, and recommendation of trading strategies. In this paper, we propose agent services-driven approach for building the above automated enterprise infrastructure. Description, directory and mediation of agent services are discussed. System structure of the agent services-based F-TRADE is also discussed. F-TRADE has been a online test platform for research and application of multi-agent technology, and data mining in stock markets.