Position and Roadmap

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  • 1. Multi-Agent & Data Mining Group, UTS, Australia Chengqi Zhang Faculty of Information Technology University of Technology Sydney, Australia Longbing Cao Faculty of Information Technology University of Technology Sydney, Australia
  • 2. Group
    • Multi-Agent & Data Mining Group
    • Web: http://datamining.it.uts.edu.au
    • People:
      • Data mining
        • Shichao Zhang, Yanchang Zhao, Huaifeng Zhang, Zhenxing Qin, Dan Luo, Yuming Ou
      • Agent & mining
        • Chengqi Zhang, Longbing Cao, Jiarui Ni, Chao Luo, Ting Yu
  • 3. Research interest
  • 4. Agent-driven data mining
    • Agent service-based mining infrastructure
      • Software engineering
      • System implementation
    • Agent-based data integration and management
    • Agent service-based parallel mining
  • 5. Data mining driven agents
    • Data mining driven trading agents
    • Data mining driven agent recommender
  • 6. Agent & Mining Interaction and Integration
    • Mutual issues in agent & mining
      • Domain knowledge
      • Human roles
      • Ontology
      • Constraint
      • Actionability
      • Intelligence metasynthesis
  • 7. Projects
    • Research grants
      • 5 Australian Research Council Discovery grants
      • 1 Australian Research Council Linkage grant
  • 8. Projects
    • Industry grants
      • Australian Commonwealth Government -- Centrelink projects
      • Capital Markets Cooperative Research Centre projects
  • 9. Applications
    • Ontology-based hybrid business intelligence systems
    • Agent service-based finance data mining
      • Agent-based data source management
      • Agent-based data preprocessing
      • Agent service-based data mining web platform
      • Data mining algorithm plug-n-play
      • Actionable trading pattern mining
      • Trading rule optimization
      • Parallel mining
      • Pairs/link mining
  • 10. F-Trade (www.f-trade.info)
    • F-Trade: Financial Trading Rule Automated Development and Evaluation
    • Started in 2003
    • Sponsored by Australian Capital Markets CRC, Securities Industry Research Centre of Asia-Pacific, UTS
    • Environment: web-based, distributed, Java, C, Window, Linux
  • 11. F-Trade
  • 12. Directions
    • Agent & mining interaction and integration
    • Mutual issues
    • Intelligence metasynthesis
      • Agent-mining symbiosis
      • Agent-human-cooperated data mining system