Position and Roadmap

422 views

Published on

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
422
On SlideShare
0
From Embeds
0
Number of Embeds
2
Actions
Shares
0
Downloads
6
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Position and Roadmap

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

×