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http://dx.doi.org/10.11627/jkise.2012.35.4.73

A Study on Estimation of R&D Research Funds by Linear Regression and Decision Tree Analysis  

Kim, Dong-Guen (Korea Institute of Science and Technology Evaluation and Planning)
Cheon, Youngdon (Department of Industrial and Management Engineering, Graduate School, Kyonggi University)
Kim, Sungkyu (Department of Industrial and Management Engineering, Graduate School, Kyonggi University)
Lee, Yoon Been (Korea Institute of Science and Technology Evaluation and Planning)
Hwang, Ji Ho (Korea Institute of Science and Technology Evaluation and Planning)
Kim, Yong Soo (Department of Industrial and Management Engineering, Kyonggi University)
Publication Information
Journal of Korean Society of Industrial and Systems Engineering / v.35, no.4, 2012 , pp. 73-82 More about this Journal
Abstract
Currently, R&D investment of government is increased dramatically. However, the budget of the government is different depending on the size of ministry and priorities, and then it is difficult to obtain consensus on the budget. They did not establish decision support systems to evaluate and execute R&D budget. In this paper, we analyze factors affecting research funds by linear regression and decision tree analysis in order to increase investment efficiency in national research project. Moreover, we suggested strategies that budget is estimated reasonably.
Keywords
R&D; Research Funds; Decision Tree Analysis; Linear Regression Analysis;
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Times Cited By KSCI : 1  (Citation Analysis)
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