Transcript Agent & Mining Interaction and Integration

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
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
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Research interest
AGENT & MINING
INTERACTION AND INTEGRATION
Mutual Problems
in Agent & Mining
Intelligence Metasynthesis in
Agent & Mining
Ontological Issues
in Agent & Mining
Actionability of Agent-Mining
Systems
Agent Service-Based Mining
Infrastructure
Agent-Based Data Integration
and Preprocessing
Data Mining Driven
Trading Agents
DATA MINING
Association Rule
Mining
Multiple Database
Mining
Link Mining
MULTIAGENT
Agent-Oriented
Software Engineering
Organizational and
Social AOSE
Open Complex Agent
Systems
Activity Mining
Support Vector
Machine
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Agent-Service-Oriented
Computing
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Agent-driven data mining
 Agent service-based mining
infrastructure
 Software engineering
 System implementation
 Agent-based data integration and
management
 Agent service-based parallel mining
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Data mining driven agents
 Data mining driven trading agents
 Data mining driven agent
recommender
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Agent & Mining Interaction and
Integration
 Mutual issues in agent & mining
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Domain knowledge
Human roles
Ontology
Constraint
Actionability
Intelligence metasynthesis
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Projects
 Research grants
 5 Australian Research Council Discovery
grants
 1 Australian Research Council Linkage
grant
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Projects
 Industry grants
 Australian Commonwealth Government - Centrelink projects
 Capital Markets Cooperative Research
Centre projects
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Applications
 Ontology-based hybrid business intelligence
systems
 Agent service-based finance data mining
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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
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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
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F-Trade
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Directions
 Agent & mining interaction and
integration
 Mutual issues
 Intelligence metasynthesis
 Agent-mining symbiosis
 Agent-human-cooperated data mining
system
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