Analyzing mass information and supporting insight based on analysis results are very important work but it needs much effort and time. Information analysis and future prediction about science and IT filed data are also very critical tasks for researchers, government officers, businessman, etc. Therefore, in this paper, we propose technology opportunity discovery (TOD) model based on feature selection and decision making for effective, systematic, and objective information analysis and future forecasting of science and IT field.
Author(s): Jinhyung Kim, Seungwoo Lee, Jinhee Lee, Mikyoung Lee and Hanmin Jung
Organization(s): Korea Institute of Science and Technology Information (KISTI)
Source: Communications in Computer and Information Science