Three levels of data-driven science
Yasuhiko Igarashi, Kenji Nagata, Tatsu Kuwatani, Toshiaki Omori, Yoshinori Nakanishi-Ohno, Masato Okada · Journal of Physics Conference Series · 2016
A research project, called "the Initiative for High-dimensional Data-Driven Science through Deepening of Sparse Modeling" is introduced. A concept, called the three levels of data-driven science , is proposed to untie the complicated relation between many fields and many methods. This concept claims that any problem of data analysis should be discussed at different three levels: computational theory, modeling, and representation/algorithm. Based on the concept, how to choose a suitable method among several candidates is discussed through our study on spectral deconvolution. In addition, how to find a universal problem across the disciplines is presented by explaining our proposed ES-SVM method. Moreover, it is illustrated that the hierarchical structure of data analysis should be visualized and shared. From these discussions, we believe that data-driven science is mother of science , namely, a scientific framework that drives many fields of science.