Title :
Toward the Data-Brain Driven Systematic Brain Data Analysis
Author :
Chen, Jianhui ; Zhong, Ning
Author_Institution :
Int. Web Intell. Consortium (WIC) Inst., Beijing Univ. of Technol., Beijing, China
Abstract :
Aiming at the characteristics of human-thinking-centric studies, brain informatics (BI) emphasizes a systematic methodology, in which systematic brain data analysis is a key issue. In this paper, a multiagent system, namely, the global learning scheme for BI, is proposed to perform a data-brain driven process planning. Utilizing the obtained three types of mining workflows, a three-step analytical process can be carried out for multiaspect brain data analysis. The proposed work presents a practical approach toward the data-brain driven systematic brain data analysis. A scenario is provided to demonstrate the significance and usefulness of the proposed approach.
Keywords :
bioinformatics; brain; cognition; data analysis; data mining; learning (artificial intelligence); multi-agent systems; brain informatics; data-brain driven process planning; data-brain driven systematic brain data analysis; global learning scheme; human-thinking-centric study; mining workflow; multiagent system; multiaspect brain data analysis; Bismuth; Data analysis; Data mining; Feature extraction; Humans; Process planning; Systematics; Brain informatics (BI); data-brain; domain-driven data mining; process planning;
Journal_Title :
Systems, Man, and Cybernetics: Systems, IEEE Transactions on
DOI :
10.1109/TSMCA.2012.2199300
