방대한 데이터 집합으로부터 데이터의 패턴인식을 위한 모델링

• 영문명: Modeling for Pattern Recognition of Data from Huge Dataset
• 발행기관: 한국산업경영시스템학회
• 저자명: 임영문 유창현
• 간행물 정보: 『한국산업경영시스템학회 학술대회』2005년 춘계학술대회 논문집, 223~227쪽, 전체 5쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2005.05.01

영문 초록

  To understand the pattern recognition from dataset, a study should be started from the decomposition process of context into a collection of data pieces because the context may infer different words or information. Many researchers have been focused on finding an effective methodology for data storage, retrieval, representation, and discovery. As a similar endeavor, this paper proposes a new modeling method using group theory and situation theory. This paper provides how to construct a semi-group as a modeling method for pattern recognition from huge dataset. This process of construction of semi groups can be used as a retrieval tool for the decomposed information if necessary.

목차

Abstract
1. 서론
2. 군이론 (Group Theory)
3. 상황이론 (Situation Theory)
4. 모델링 방법
5. Conclusion
감사의 글
References