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.

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

• 장길상(울산대학교)
• 이종섭(한국과학기술정보연구원)