전자상거래 영역에 있어 잠재고객의 발굴을 위한 보다 효율적 연관규칙 알고리듬 = A More Effective Association Rule Algorithm to Find Potential Customers in the Area of E-Commerce

다국어 초록 (Multilingual Abstract)

An optimal descriptive rule set discovery method for the databases of E-commerce is suggested. The main purpose of the method is to comprise user's interests and domain knowledge in found rule sets to find potential customers. For the target databases of high dimension and large volume that are most common in E-commerce databases, it takes advantages of the fact that more general concepts occur more frequently and that users' intention of knowledge discovery is to find some hidden information that governs some substantial portion of the database. A modified association rule finding algorithm is applied in stepwise manner to target database, database decision table, which has condition and decision attributes.

목차 (Table of Contents)

• Ⅰ.서론
• Ⅱ.관련 연구 동향
• Ⅲ.연관 규칙 발견 알고리듬
• Ⅳ.기술규칙의 단계적 발견법
• Ⅴ.실험
• Ⅵ.결론
• 참고문헌
• 〈Abstract〉