Data-Brain driven multi-aspect mining process planning

Abstract

Aiming at the characteristics of human thinking centric studies, Brain Informatics (BI) adopts a multi-aspect data analysis approach for realizing systematic human brain data analysis. However, the existing expert-driven and individual capabilities based approach cannot realize a holistic multi-aspect brain data analysis because of the limitation of individual capabilities of researchers. In this paper, we propose a Data-Brain driven approach for multi-aspect mining process planning, by which various brain data and analytical methods in BI community can be dynamically integrated to get all of the possible mining workflows. This Data-Brain driven approach can reduce the dependency on individual capabilities and guide the holistic multi-aspect data analysis.