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 .
中图分类号:
叶飞跃. 基于哈希的B~+树结构的频繁模式挖掘[J]. , 2004, 30(13): 117-119.
YE Feiyue 1,2. B~+-tree Based on Hash Chain Structure Mining of Frequent Patterns[J]. , 2004, 30(13): 117-119.