Difference between revisions of "ADMI 2017"
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|has program chair=Yifeng Zeng, Yang Gao, Hao Wang, Yingke Chen | |has program chair=Yifeng Zeng, Yang Gao, Hao Wang, Yingke Chen | ||
|Acronym=ADMI 2017 | |Acronym=ADMI 2017 | ||
− | |End date=2017 | + | |End date=2017-05-08 |
|Series =ADMI | |Series =ADMI | ||
|Type =Conference | |Type =Conference | ||
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|State =BR/SP | |State =BR/SP | ||
|City =BR/SP/São Paulo | |City =BR/SP/São Paulo | ||
+ | |Year =2017 | ||
|Homepage=http://admi17.agentmining.org/ | |Homepage=http://admi17.agentmining.org/ | ||
− | |Start date=2017 | + | |Start date=2017-05-08 |
|Title =13th International Workshop on Agents and Data Mining Interaction}} | |Title =13th International Workshop on Agents and Data Mining Interaction}} | ||
The Thirteenth International Workshop on Agents and Data Mining Interaction (ADMI-17), Sao Paulo, Brazil, May 8, 2017 | The Thirteenth International Workshop on Agents and Data Mining Interaction (ADMI-17), Sao Paulo, Brazil, May 8, 2017 |
Revision as of 02:51, 19 November 2021
Event Rating
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List of all ratings can be found at ADMI 2017/rating
ADMI 2017 | |
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13th International Workshop on Agents and Data Mining Interaction
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Event in series | ADMI |
Dates | 2017-05-08 (iCal) - 2017-05-08 |
Homepage: | http://admi17.agentmining.org/ |
Location | |
Location: | BR/SP/São Paulo, BR/SP, BR |
Important dates | |
Submissions: | 2017/02/05 |
Committees | |
General chairs: | Philip S. Yu, Longbing Cao |
PC chairs: | Yifeng Zeng, Yang Gao, Hao Wang, Yingke Chen |
Table of Contents | |
The Thirteenth International Workshop on Agents and Data Mining Interaction (ADMI-17), Sao Paulo, Brazil, May 8, 2017 http://admi17.agentmining.org/
Held in conjunction with Sixteenth International Joint Conference on AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS (AAMAS-2017) http://www.aamas2017.org/
Topics
- Data-driven decision making and planning
- Data-driven reasoning and learning
- Data-driven agent interaction and coordination
- Data-driven personalized agents
- Deep learning for agent systems
- Agent-based methods and tools for big data analysis
- Applications of data-driven agent systems