Data computations for Applied Informatics
Naohiro Ishii · 2016
Summary form only given. Extensive developments are carried out in the fields of Applied Informatics. Among these fields, the fundamental problem is to develop the specific data processing and to provide each technology for the discipline of the Informatics. First, I would like to talk about an example of Neuro Informatics and Biomedical Informatics, which I was engaged in the research of the School of Medicine. In this talk, I will show the data processing problem in the experimental neurophysiology study and how to solve the problem in cooperation with Shannon information theory. Second, text classification problem in the Data Informatics is taken. In this discipline, since the text processing needs multiple distance measurements, the problem is how to cope with these situations for the higher classification accuracy. In the rough set theory, the data reduction is carried out by reducts, which have minimal discernibility classification ability. In this study, the multiple reducts corresponding to different distance measures are shown to be useful for the classification.