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An improved canonical correlation analysis (CCA) approach for multi-subject blind source separation (BSS) of brain functional magnetic resonance imaging (fMRI) data is proposed. Group-level comparison analysis has attracted increasing interest in the human brain fMRI analysis. Canonical correlation analysis for blind source separation (BSS-CCA) relies on the fact that all meaningful real signals are...
This paper studies the forming process of customer value based on grounded theory. Through mining the factors and analyzing the relationship between them during the customer value formation, the model of customer value is constructed in a business to customer market. At the same time, the paper build the measuring model and propose four types of customer measurement: the measurement of each factor...
Rough set theory has been a powerful methodology in data mining and knowledge discovery, extracting and minimizing rules from decision tables. There are mainly two kinds of ways for knowledge discovery: the one is to get specialized knowledge from experts in this fields, the second is to provide automated analysis solutions from database. But there are few studies that focus on the knowledge discovery...
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