데이터 마이닝과 통계적 기법을 통합한 최적화 기법
Optimization Methodology Integrated Data Mining and Statistical Method
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Abstract
These days manufacture technology and manufacture environment are changing rapidly. By development of computer and enlargement of technique, most of manufacture field are computerized. In order to win international competition, it is important for companies how fast get the useful information from vast data. Statistical process control(SPC) techniques have been used as a problem solution tool at manufacturing process until present. However, these statistical methods are not applied more extensively because it has much restrictions in realistic problems. These statistical techniques have lots of problems when much data and factors are analyzed. In this paper, we proposed more practical and efficient a new statistical design technique which integrated data mining (DM) and statistical methods as alternative of problems. First step is selecting significant factor using DM feature selection algorithm from data of manufacturing process including many factors. Second step is finding optimum of process after estimating response function through response surface methodology(RSM) that is a statistical techniques
참고문헌 (15)
- "데이터마이닝을 이용한 반도체 FAB 공정의 수율개선 및 예측", 9(1), pp.157~177 (2003)
- "데이터 마이닝에서 로버스트 통계적 기법의 도입", 18 (2000)
- "Clustering Method for Large Data Sets" (1999)
- "Data mining techniques applied to predictive modeling of the knurling process", 36, pp.253~263 (2004)
- "Bayesian Data Mining in Large Frequency Tables With an Application to the Spontaneous Reportign System", 53, pp.177~202 (1999)
- "Data Mining Solves Though Semiconductor Manufacturing Problem.", pp.376~383 (2000)
- "Correlation-based Feature Selection for Machine Learning" (1998), Waikato University
- "In Machine Learning： Proceedings of the Eleventh International Conference" (1994), Morgan Kaufmann.
- "A conditional decision procedure for high yield process", 34, pp.1021~1030 (2002)
- "Dual response surface optimation", 27, pp.34~39 (1995)
- "Introduction to Statistical Quality Control" (2001)
- "Data Mining: An Overview" (2004)
- "The KDD Process for Extracting Useful Knowledge from Volumes of Data", 39(11), pp.27~34 (1996)
- "Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution", pp.856~863 (2003)
- "Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution", pp.856~863 (2003)