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

Author：

Motomura, Shinichi (Motomura, Shinichi.) | Hara, Akinori (Hara, Akinori.) | Zhong, Ning (Zhong, Ning.) | Lu, Shengfu (Lu, Shengfu.)

Indexed by：

EI Scopus

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.　©　2008　Springer-Verlag　Berlin　Heidelberg.

Keyword：

Cognitive systems Function evaluation Data mining Bioinformatics Data reduction Problem solving Neurology

Author Community：

[ 1 ] [Motomura, Shinichi]Graduate School, Maebashi Institute of Technology, Japan
[ 2 ] [Hara, Akinori]Graduate School, Maebashi Institute of Technology, Japan
[ 3 ] [Zhong, Ning]Department of Life Science and Informatics, Maebashi Institute of Technology, Japan
[ 4 ] [Zhong, Ning]The International WIC Institute, Beijing University of Technology, China
[ 5 ] [Lu, Shengfu]The International WIC Institute, Beijing University of Technology, China