원문정보
Raise the efficiency of engineering changes using Data mining - B Electronics Case -
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초록
영어
The authors used association rules and patterns in sequential of data mining in order to raise the efficiency of engineering changes. The association rule can reduce the number of engineering changes since it can estimate the parts to be changed. The patterns in sequential can perform engineering changes effectively by estimating the parts to be changed from sequence estimation. According to this result, unnecessary engineering changes are eliminated and the number of engineering changes decrease. This method can be used for improving design quality and productivity in company managing engineering changes and related information.
목차
Abstract
1. 서론
2. 설계변경의 개요
3. GRI와 순차규칙 데이터 전처리
3.1 GRI(연관규칙)
3.2 순차규칙
4. 데이터마이닝 적용 및 검증
4.1 GRI적용 및 검증
4.2 순차규칙 적용 및 검증
5. 결론
6. 참고문헌
1. 서론
2. 설계변경의 개요
3. GRI와 순차규칙 데이터 전처리
3.1 GRI(연관규칙)
3.2 순차규칙
4. 데이터마이닝 적용 및 검증
4.1 GRI적용 및 검증
4.2 순차규칙 적용 및 검증
5. 결론
6. 참고문헌
저자정보
참고문헌
자료제공 : 네이버학술정보