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» Agents and Data Mining: Mutual Enhancement by Integration
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DEXAW
2002
IEEE
102views Database» more  DEXAW 2002»
15 years 2 months ago
Designing a Curious Negotiator
In negotiation the exchange of contextual information is as important as the exchange of specific offers. The curious negotiator is a multiagent system with three types of agent. ...
John K. Debenham, Simeon J. Simoff
AAAI
2008
14 years 11 months ago
Learning to Improve Earth Observation Flight Planning
This paper describes a method and system for integrating machine learning with planning and data visualization for the management of mobile sensors for Earth science investigation...
Robert A. Morris, Nikunj C. Oza, Leslie Keely, Eli...
WOA
2003
14 years 10 months ago
An Integrated Resource Management Architecture for Wireless Smart Environments
— Pervasive and ubiquitous computing is enabling the implementation of “smart environments”, i.e., environments where applications support and enhance the abilities of their ...
Paolo Bellavista, Antonio Corradi, Silvia Vecchi
KDD
2008
ACM
213views Data Mining» more  KDD 2008»
15 years 9 months ago
Heterogeneous data fusion for alzheimer's disease study
Effective diagnosis of Alzheimer's disease (AD) is of primary importance in biomedical research. Recent studies have demonstrated that neuroimaging parameters are sensitive a...
Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng ...
WWW
2006
ACM
15 years 10 months ago
An e-market framework for informed trading
Fully automated trading, such as e-procurement, using the Internet is virtually unheard of today. Three core technologies are needed to fully automate the trading process: data mi...
John K. Debenham, Simeon J. Simoff