연관규칙을 이용한 고객의 구매경향에 관한 연구 A Study on Customer's Purchase Trend Using Association Rule
임영문, 최영두
- 언어KOR
- URLhttp://db.koreascholar.com/Article/Detail/368298
대한안전경영과학회 학술대회
2000년도 대한안전경영과학회 추계학술대회
(2000.11)
pp.299-306
pp.299-306
대한안전경영과학회
(Korea Safety Management & Science)
초록
General definition of data mining is the knowledge discovery or is to extract hidden necessary information from large databases. Its technique can be applied into decision making, prediction, and information analysis through analyzing of relationship and pattern among data. One of the most important work is to find association rules in data mining. The objective of this paper is to find customer's trend using association rule from analysis of database and the result can be used as fundamental data for CRM(Customer Relationship Management). This paper uses Apriori algorithm and FoodMart data in order to find association rules.
키워드
목차
Abstract
1. 서론
2. 연관규칙 정의
2.1 연관규칙 탐사 (Association Rule Mining)
2.2 Apriori Algorithm
3. 실험 방법
4. 데이터 분석
5. 결과분석
6. 결론 및 향후과제
7. 감사의 글
8. 참고문헌
1. 서론
2. 연관규칙 정의
2.1 연관규칙 탐사 (Association Rule Mining)
2.2 Apriori Algorithm
3. 실험 방법
4. 데이터 분석
5. 결과분석
6. 결론 및 향후과제
7. 감사의 글
8. 참고문헌
저자