Building a data-mining Grid for multiple human brain data analysis

Ning Zhong, Jia Hu, Shinichi Motomura, Jinglong Wu, Chunnian Liu

Research output: Contribution to journalArticle

25 Citations (Scopus)

Abstract

E-science is about global collaboration in key areas of science such as cognitive science and brain science, and the next generation of infrastructure such as the Wisdom Web and Knowledge Grids. As a case study, we investigate human multiperception mechanism by cooperatively using various psychological experiments, physiological measurements, and data mining techniques for developing artificial systems which match human ability in specific aspects. In particular, we observe fMRI (functional magnetic resonance imaging) and EEG (electroencephalogram) brain activations from the viewpoint of peculiarity oriented mining and propose a way of peculiarity oriented mining for knowledge discovery in multiple human brain data. Based on such experience and needs, we concentrate on the architectural aspect of a brain-informatics portal from the perspective of the Wisdom Web and Knowledge Grids. We describe how to build a data-mining grid on the Wisdom Web for multiaspect human brain data analysis. The proposed methodology attempts to change the perspective of cognitive scientists from a single type of experimental data analysis toward a holistic view at a long-term, global field of vision.

Original languageEnglish
Pages (from-to)177-196
Number of pages20
JournalComputational Intelligence
Volume21
Issue number2
DOIs
Publication statusPublished - May 2005
Externally publishedYes

Fingerprint

Data mining
Brain
Data analysis
Data Mining
Grid
Knowledge Grid
Mining
E-Science
Cognitive Science
Functional Magnetic Resonance Imaging
Knowledge Discovery
Electroencephalography
World Wide Web
Activation
Infrastructure
Chemical activation
Human
Experimental Data
Methodology
Experiment

Keywords

  • Brain-informatics portals
  • Multiaspect human brain data analysis
  • Peculiarity oriented mining
  • The data-mining grid
  • The Wisdom Web

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Artificial Intelligence
  • Safety, Risk, Reliability and Quality
  • Computational Mathematics

Cite this

Building a data-mining Grid for multiple human brain data analysis. / Zhong, Ning; Hu, Jia; Motomura, Shinichi; Wu, Jinglong; Liu, Chunnian.

In: Computational Intelligence, Vol. 21, No. 2, 05.2005, p. 177-196.

Research output: Contribution to journalArticle

Zhong, Ning ; Hu, Jia ; Motomura, Shinichi ; Wu, Jinglong ; Liu, Chunnian. / Building a data-mining Grid for multiple human brain data analysis. In: Computational Intelligence. 2005 ; Vol. 21, No. 2. pp. 177-196.
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