회귀분석 및 의사결정나무 분석을 통한 R&D 연구비 추정에 관한 연구

• 영문명: A Study on Estimation of R&D Research Funds by Linear Regression and Decision Tree Analysis
• 발행기관: 한국산업경영시스템학회
• 저자명: 김동근(Dong-Guen Kim) 천영돈(Youngdon Cheon) 김성규(Sungkyu Kim) 이윤빈(Yoon Been Lee) 황지호(Ji Ho Hwang) 김용수(Yong Soo Kim)
• 간행물 정보: 『산업경영시스템학회지』제35권 제4호, 73~82쪽, 전체 10쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2012.12.31

영문 초록

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.

목차

1. 서론

2. 관련문헌 연구

3. 데이터 전처리 및 데이터 모형 수립

4. 결론 및 향후 연구방향

References

키워드

R&D Research Funds Decision Tree Analysis Linear Regression Analysis