Earticle

초록

영어

Weighted association rules are to research on association rule mining expansion. It is aimed at users of different project importance of different database mining, to help users find interesting association rules, but also does not produce too many useless rules. The most important process of weighted association rules mining is weighted to generate frequent item sets. Unidirectional FP- tree node entry's serial number marking and recording the support count. Item number by the support from big is to small order determination. The paper presents the research of a novel weighted association rules algorithm based on unidirectional FP tree. Implementation results show that the algorithm unidirectional FP running efficiency is relatively high.

목차

Abstract
 1. Introduction
 2. The Research of Weighted Association Rules Mining
 3. The Development of Unidirectional FP Tree
 4. A Novel Weighted Association Rules Algorithm Based On Unidirectional FP Tree
 5. Conclusions
 References

키워드

저자

• Fengxia Yang [ Department of Information Engineering, Henan College of Finance & Taxation Zhengzhou, Henan, China ]
• Kehao Cao [ The Career Center, Henan College of Finance & Taxation Zhengzhou, Henan, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605