원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.8 No.7
2015.07
pp.239-242
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Last few years have seen a rapid growth in the area of data mining. Association rule mining is one of the most important techniques of data mining. It is a technique which is used to discover the frequently occurring patterns in the database. A lot of research has been done in the area of association rule mining. This paper gives a brief overview of association rule mining, some of its applications and algorithms. The limit of discussion is to the areas where association rule is used to a high extent.
목차
Abstract
1. Introduction
1.1. Association Rule Mining
2. Applications of Association Rule Mining
2.1. Market Basket Analysis
2.2. CRM of the Credit Card Business
2.3. Medical Diagnosis
2.4. Census Data
2.5. Protein Sequences
3. Different Methods of Association Rule Mining
3.1. Apriori Algorithm
3.2. FP- Growth Algorithm
3.3. Genetic Algorithm
4. Conclusion
References
1. Introduction
1.1. Association Rule Mining
2. Applications of Association Rule Mining
2.1. Market Basket Analysis
2.2. CRM of the Credit Card Business
2.3. Medical Diagnosis
2.4. Census Data
2.5. Protein Sequences
3. Different Methods of Association Rule Mining
3.1. Apriori Algorithm
3.2. FP- Growth Algorithm
3.3. Genetic Algorithm
4. Conclusion
References
저자정보
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