Abstract
Recent development of computer technology has made possible to analyze huge datasets statistically and extract practically useful information, which is called ‘big-data analysis’. In materials science field, this type of approach has been in fashion in these two or three years. However, this approach is powerful with huge datasets, which are not fully supplied in materials science. The author has developed a few techniques to complement the shortage of numerical data that can be input directly to the computer, which are briefly reported in this article.
