확률 그래프 모형 기반의 트랜잭션 데이터 분석 방법론

• 영문명: Transaction Data Analysis Method based on Probabilistic Graphical Model
• 발행기관: 한국산업경영시스템학회
• 저자명: 안길승(Gil-Seung Ahn) 인성권(Seong-kwon In) 허선(Sun Hur)
• 간행물 정보: 『한국산업경영시스템학회 학술대회』2015년 추계학술대회 논문집, 43~47쪽, 전체 5쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2015.10.31

영문 초록

Recently, transaction data is accumulated everywhere such as bank and IT company. Association analysis methods are usually applied to analyze transaction data, but the methods have several problems. For example, these methods only consider one-way relations among items and cannot reflect domain knowledge to analysis process. In order to overcome defect of association analysis methods, we suggest a transaction data analysis method based on probabilistic graphical model (PGM) in this study. The method we suggest has several advantages as compared with association analysis methods. For example, this method has a high flexibility, so it can give a solution to various probability problems regarding the transaction data and can consider various relationships among items.

목차

Probabilistic graphical model;Transaction data;Association rule;SO-PMI

키워드

1. 서론 2. 관련 연구 3. 제안 알고리즘 4. 제안 알고리즘의 적용 예와 성능 평가 5. 결론