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›› 2004, Vol. 30 ›› Issue (13): 117-119.

• 论文 • 上一篇    下一篇

基于哈希的B~+树结构的频繁模式挖掘

叶飞跃   

  1. 南京航空航天大学信息科学与技术学院 南京 210016 江苏技术师范学院计算机科学与技术系,常州 213001
  • 发布日期:2004-07-15

B~+-tree Based on Hash Chain Structure Mining of Frequent Patterns

YE Feiyue 1,2   

  1. (1. College of Information Science and Technology, Nanjing University of Aeronaustics and Astronautics, Nanjing 210016; 2. Department of Computer Science and Technology, Jiangsu Teachers College of Technology, Changzhou 213001)
  • Published:2004-07-15

摘要: 提出了一种基于改进的B+树结构及一种新的数据挖掘算法,HB-Mine,该算法通过构造哈希函数,获得B+树的关键字,并在B+树的叶子结点上构建链表结构,记录相关关键字的项集及频数,这样在无需产生巨大的候选项集的情况下,挖掘出频繁模式,且具有较高的时间效率。

关键词: 数据挖掘, 关联规则, 频繁模式, B+树

Abstract: This paper puts forwards an improved B+-tree structure and a new mining algorithms , HCS-Mine, it makes hash function to gain the key of the B+-tree, and structures the chain structure at the node of the leafage of B+-tree, in which records the item set and the frequence. It mines frequent patterns without candidate generation and has better time efficiency .

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