Actors: a model of concurrent computation in distributed systems
Actors: a model of concurrent computation in distributed systems
On the induction of decision trees for multiple concept learning
On the induction of decision trees for multiple concept learning
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
Data Mining and Knowledge Discovery
On-Line Monitoring: A Tutorial
Computer
An Interval Classifier for Database Mining Applications
VLDB '92 Proceedings of the 18th International Conference on Very Large Data Bases
An Agent-Based Approach for Intelligent and Cooperative Systems
KDEX '97 Proceedings of the 1997 IEEE Knowledge and Data Engineering Exchange Workshop
Agents and data mining: mutual enhancement by integration
AIS-ADM 2005 Proceedings of the 2005 international conference on Autonomous Intelligent Systems: agents and Data Mining
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Intelligent agents are new paradigm for developing software applications. More than this, agent-based computing has been hailed as the next significant break-through in software development and the new revolution in classification techniques for large-scale data mining environment. Currently, agents are the focus intense interest on the part of many sub-fields of computers science and artificial intelligence. In our work, we develop multi-agents platform gathering different type of agents. We provide to this platform the ability to operate automatically thanks to autonomous and intelligent agents. This new methodology combines the agent approach with the monitoring strategy in order to cluster large data sets efficiently. In this paper, we use a platform based on multi-agents system in order to automatically use the data mining for clinical analysis. Research into data mining in medical diagnosis is important to guide the clinicians in different phases of their diagnostic evaluations. The platform offers interest tool for data mining analysis using graph outputs and measures. An implementation of this platform on clinical data base is presented. We discuss the importance of our approach and how it supports the data mining and also the possibility to generate and evaluate several association rules according to some scenearios predefined in the intelligent knowledge base of the proposed platform.