러프 집합과 SOM을 이용한 연속형 속성의 이산화

• 발행기관: 한국산업경영시스템학회
• 저자명: 서완석 김재련
• 간행물 정보: 『한국산업경영시스템학회 학술대회』2003년 추계학술대회 논문집, 36~40쪽, 전체 5쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2003.10.01

영문 초록

  Data mining is widely used for turning huge amounts of data into useful information and knowledge in the information industry in recent years. When analyzing data set with continuous values in order to gain knowledge utilizing data mining, we often undergo a process called discretization, which divides the attribute’s value into intervals.
  Such intervals from new values for the attribute allow to reduce the size of the data set. In addition, discretization based on rough set theory has the advantage of being easily applied. In this paper, we suggest a discretization algorithm based on Rough set and SOM(Self-Organizing Map) as a means of extracting valuable information from large data set, which can be employed even in the case where there lacks of professional knowledge for the field.

목차

Abstract
1. 서론
2. 러프 집합과 SOM(Self-Organizing Map)
3. 연속형 속성의 이산화(Discretization)
4. 결론
참고문헌

키워드

Discretization Rough Set SOM