WI based multi-aspect data analysis in a brain informatics portal

Authors:
Ning Zhong;Shinichi Motomura
Affiliations:
The International WIC Institute, BJUT and Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi, Japan;Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi, Japan
Venue:
AIS-ADM'07 Proceedings of the 2nd international conference on Autonomous intelligent systems: agents and data mining
Year:
2007

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Abstract

In order to investigate human information processing mechanism systematically, Web intelligence (WI) based portal techniques are required for brain data measurement, management and analysis. Building a brain informatics portal is, in fact, to develop a data mining grid centric multi-layer grid system on the Wisdom Web, on which various data mining agents are deployed, for multi-aspect data analysis. We propose an approach for collecting, modeling, transforming, managing, and mining multiple human brain data obtained from systematic fMRI/EEG experiments. The proposed approach provides a new way in Brain Informatics (BI) for automatic analysis and understanding of human brain data to replace human-expert centric visualization. We attempt to change the perspective of cognitive scientists from a single type of experimental data analysis towards a holistic view at a long-term, global field of vision to understand the principle, models and mechanisms of human information processing system.