position and roadmap

12
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

Upload: tommy96

Post on 22-Jan-2015

301 views

Category:

Documents


0 download

DESCRIPTION

 

TRANSCRIPT

  • 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