Developing multi-agent systems with a FIPA-compliant agent framework
Software—Practice & Experience
Bioinformatics integration and agent technology
Journal of Biomedical Informatics
Discovering Gene Networks with a Neural-Genetic Hybrid
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Data mining in bioinformatics using Weka
Bioinformatics
Methodological Review: Data integration and genomic medicine
Journal of Biomedical Informatics
Building agent-based hybrid intelligent systems: A case study
Web Intelligence and Agent Systems
A Clustering Based Hybrid System for Mass Spectrometry Data Analysis
PRIB '08 Proceedings of the Third IAPR International Conference on Pattern Recognition in Bioinformatics
An Agent-Based Hybrid System for Microarray Data Analysis
IEEE Intelligent Systems
Distributed data mining and agents
Engineering Applications of Artificial Intelligence
Agent-mining interaction: an emerging area
AIS-ADM'07 Proceedings of the 2nd international conference on Autonomous intelligent systems: agents and data mining
An agent-based framework for distributed learning
Engineering Applications of Artificial Intelligence
Distributed learning with data reduction
Transactions on computational collective intelligence IV
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This paper proposes to apply multiagent based data mining technologies to biological data analysis. The rationale is justified from multiple perspectives with an emphasis on biological context. Followed by that, an initial multiagent based bio-data mining framework is presented. Based on the framework, we developed a prototype system to demonstrate how it helps the biologists to perform a comprehensive mining task for answering biological questions. The system offers a new way to reuse biological datasets and available data mining algorithms with ease.