Multiagent Framework for Bio-data Mining

  • Authors:
  • Pengyi Yang;Li Tao;Liang Xu;Zili Zhang

  • Affiliations:
  • School of Information Technologies (J12), The University of Sydney, NSW, Australia 2006;Faculty of Computer and Information Science, Southwest University, Chongqing, China 400715;Faculty of Computer and Information Science, Southwest University, Chongqing, China 400715;Faculty of Computer and Information Science, Southwest University, Chongqing, China 400715 and School of Information Technology, Deakin University, Geelong, Australia 3217

  • Venue:
  • RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
  • Year:
  • 2009

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Abstract

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.