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.
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Motomura, S., Hara, A., Zhong, N., Lu, S. (2008). POM Centric Multi-aspect Data Analysis for Investigating Human Problem Solving Function. In: Raś, Z.W., Tsumoto, S., Zighed, D. (eds) Mining Complex Data. MCD 2007. Lecture Notes in Computer Science(), vol 4944. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68416-9_20
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DOI: https://doi.org/10.1007/978-3-540-68416-9_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68415-2
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