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International Workshop on Autonomous Intelligent Systems: Multi-Agents and Data Mining

AIS-ADM 2007: Autonomous Intelligent Systems: Multi-Agents and Data Mining pp 46–59Cite as

WI Based Multi-aspect Data Analysis in a Brain Informatics Portal

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4476))

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.

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Author information

Authors and Affiliations

  1. The International WIC Institute/BJUT,  

    Ning Zhong

  2. Department of Life Science and Informatics, Maebashi Institute of Technology, 460-1 Kamisadori-cho, Maebashi 371-0816, Japan

    Ning Zhong & Shinichi Motomura

Authors
  1. Ning Zhong
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  2. Shinichi Motomura
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Editor information

Vladimir Gorodetsky Chengqi Zhang Victor A. Skormin Longbing Cao

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© 2007 Springer Berlin Heidelberg

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Zhong, N., Motomura, S. (2007). WI Based Multi-aspect Data Analysis in a Brain Informatics Portal. In: Gorodetsky, V., Zhang, C., Skormin, V.A., Cao, L. (eds) Autonomous Intelligent Systems: Multi-Agents and Data Mining. AIS-ADM 2007. Lecture Notes in Computer Science(), vol 4476. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72839-9_4

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  • DOI: https://doi.org/10.1007/978-3-540-72839-9_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72838-2

  • Online ISBN: 978-3-540-72839-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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