The Discovery of Rules from Brain Images
DS '98 Proceedings of the First International Conference on Discovery Science
Peculiarity Oriented Multidatabase Mining
IEEE Transactions on Knowledge and Data Engineering
Peculiarity Oriented Multi-Aspect Brain Data Analysis for Studying Human Multi-Perception Mechanism
SAINT-W '05 Proceedings of the 2005 Symposium on Applications and the Internet Workshops
Web intelligence (WI): what makes wisdom web?
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Web intelligence meets brain informatics
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
Peculiarity oriented fMRI brain data analysis for studying human multi-perception mechanism
Cognitive Systems Research
A multiview approach for intelligent data analysis based on data operators
Information Sciences: an International Journal
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In order to investigate human information processing mechanism systematically, various methods of brain data measurement and analysis are required. It has been observed that multiple brain data such as fMRI brain images and EEG brain waves extracted from human multi-perception mechanism involved in a particular task are peculiar ones with respect to a specific state or the related part of a stimulus. Based on this point of view, we propose a way of peculiarity oriented mining for multi-aspect analysis in multiple human brain data, without using conventional image processing to fMRI brain images and frequency analysis to brain waves. The proposed approach provides a new way in Brain Informatics 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.