Abstract
In order to investigate the structure and unique point of brain waves data, new analysis methods are expected. However, brain waves data is not a constant value, the extraction of a peculiar part is very difficult. Based on this point of view, we propose a way of Peculiarity Oriented Mining (POM) for peculiar part discovery in multiple brain waves data. The proposed approach provides a new way for automatic analysis. The main task of POM is the identification of peculiar data. We will take human computation as an example. In this paper, we evaluate the POM technique by using the simulation data first. And, we show the effectiveness of the proposal technique. Finally, we analyze how peculiar part of the brain waves in a human computation process.
