Peculiarity oriented mining in multiple human brain data

Ning Zhong, Akio Nakamaru, Muneaki Ohshima, Jinglong Wu, Hiroaki Mizuhara

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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)
Volume2690
Publication statusPublished - 2004
Externally publishedYes

Fingerprint

Mining
Brain
Functional Magnetic Resonance Imaging
Data mining
Process Mining
Magnetic Resonance Imaging
Knowledge Discovery
Psychology
Data Mining
Experiment
Activation
Experiments
Chemical activation
Human
Perception
Vision

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Peculiarity oriented mining in multiple human brain data. / Zhong, Ning; Nakamaru, Akio; Ohshima, Muneaki; Wu, Jinglong; Mizuhara, Hiroaki.

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2690, 2004, p. 742-750.

Research output: Contribution to journalArticle

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