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

Volume

43

Issue

1

fYear

2013

fDate

Jan. 2013

Firstpage

222

Lastpage

228

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;

fLanguage

English

Journal_Title

Systems, Man, and Cybernetics: Systems, IEEE Transactions on

Publisher

ieee

ISSN

2168-2216

Type

jour

DOI

10.1109/TSMCA.2012.2199300

Filename

6216444