Peculiarity oriented mining in multiple human brain data

Ning Zhong, Akio Nakamaru, Muneaki Ohshima, Jing Long Wu, Hiroaki Mizuhara

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


In the paper, we investigate fMRI brain activations from the view point of peculiarity oriented mining and propose a way of peculiarity oriented mining for knowledge discovery in multiple human brain data. The mining process is a multi-step one, in which various psychological experiments, physiological measurements, and data mining techniques are cooperatively used to investigate human multi-perception mechanism. We describe the initial results on transforming the multiple human brain data obtained from visual and auditory psychological experiments by the functional magnetic resonance imaging (fMRI) as well as using peculiarity oriented mining technique in such multi-data.

Original languageEnglish
Pages (from-to)742-750
Number of pages9
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publication statusPublished - Dec 1 2004
Externally publishedYes

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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