Title :
Agent-Enriched Data Mining: A Case Study in Brain Informatics
Author :
Zhong, Ning ; Motomura, Shinichi
Author_Institution :
Maebashi Inst. of Technol., Maebashi
Abstract :
The brain informatics methodology supports systematic brain data measurement, management, and analysis. An agent-enriched peculiarity-oriented mining approach offers a case study of the BI method by transforming and mining human-brain data obtained from cognitive event-related potential experiments.
Keywords :
bioinformatics; brain; cognition; data analysis; data mining; multi-agent systems; agent-enriched data mining; agent-enriched peculiarity-oriented mining approach; brain informatics; cognitive event-related potential experiments; data analysis; human-brain data; systematic brain data measurement; Analytical models; Bismuth; Brain modeling; Data analysis; Data mining; Enterprise resource planning; Hip; Humans; Informatics; Intelligent agent; agent-enriched knowledge discovery; brain informatics; human-brain ERP data mining;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2009.46
