전자상거래 환경하에서 연관규칙과 이동경로를 발견하는 데이터마이닝 기법

• 영문명: Data mining technique for discovering association rules and traversal path in an electronic commerce environment
• 발행기관: 한국산업경영시스템학회
• 저자명: 장길상 이종섭
• 간행물 정보: 『한국산업경영시스템학회 학술대회』2003년 춘계학술대회 논문집, 23~27쪽, 전체 5쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2003.05.01

영문 초록

  We study data mining technique in an electronic commerce. Customers travel web pages in an shopping mall and they sometimes purchase products. It is important for a web master in a shopping mall to know customer"s purchasing patterns. We discover both association rules among customer"s purchasing products and customer"s traversal paths. We propose three phase mining technique to explore it. In the first phase, it find large items from sales database. In the second phase, it add to traversal paths. In the third phase, it discover associations rules from large items.

목차

Abstract
1. 서론
2. 제안하는 데이터마이닝 해법
3. 수치예제
4. 결론
참고문헌

키워드

data mining association rules traversal path electronic commerce