POM centric multi-aspect data analysis for investigating human problem solving function

Authors:
Shinichi Motomura;Akinori Hara;Ning Zhong;Shengfu Lu
Affiliations:
Graduate School, Maebashi Institute of Technology, Japan;Graduate School, Maebashi Institute of Technology, Japan;Department of Life Science and Informatics, Maebashi Institute of Technology, Japan and The International WIC Institute, Beijing University of Technology, China;The International WIC Institute, Beijing University of Technology, China
Venue:
MCD'07 Proceedings of the 3rd ECML/PKDD international conference on Mining complex data
Year:
2007

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Abstract

In the paper, we propose an approach of POM (peculiarity oriented mining) centric multi-aspect data analysis for investigating human problem solving related functions, in which computation tasks are used as an example. The proposed approach is based on Brain Informatics (BI) methodology, which supports studies of human information processing mechanism systematically from both macro and micro points of view by combining experimental cognitive neuroscience with advanced information technology. We describe how to design systematically cognitive experiments to obtain multi-ERP data and analyze spatiotemporal peculiarity of such data. Preliminary results show the usefulness of our approach.