Peculiarity oriented mining in multiple human brain data

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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. © Springer-Verlag 2003.

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APA

Zhong, N., Nakamaru, A., Ohshima, M., Wu, J. L., & Mizuhara, H. (2004). Peculiarity oriented mining in multiple human brain data. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2690, 742–750. https://doi.org/10.1007/978-3-540-45080-1_99

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