Knowledge discovery for a kind of association rules of temporal approximate periodicity

doi:10.3778/j.issn.1002-8331.2010.20.066

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (20): 241-244.DOI: 10.3778/j.issn.1002-8331.2010.20.066

• 工程与应用 • Previous Articles Next Articles

Knowledge discovery for a kind of association rules of temporal approximate periodicity

JIANG Hua¹，MENG Zhi-qing²，ZHOU Ke-jiang¹，XIAO Jian-hua¹，HUANG Yue¹

1.Department of Information & Technology，Hunan First Normal College，Changsha 410205，China
2.College of Business and Administration，Zhejiang University of Technology，Hangzhou 310023，China

Received:2008-12-01 Revised:2009-02-02 Online:2010-07-11 Published:2010-07-11
Contact: JIANG Hua

一类时态近似周期关联规则的知识发现问题

姜华¹，孟志青²，周克江¹，肖建华¹，黄悦¹

1.湖南第一师范学院信息技术系，长沙 410205
2.浙江工业大学经贸管理学院，杭州 310023

通讯作者: 姜华

Abstract

Abstract: This paper discusses a kind of association rules of temporal approximate periodicity based on temporal constraint.First it presents an association rules of the approximate periodicity pattern.Then，it discusses an algorithm based on self-organizing map to find approximate periodic association rules.Experiment results show that proposed algorithms are efficient.

Key words: data mining, self-organizing map, approximate periodicity, temporal association rules

摘要： 研究一类基于时态约束的属性状态之间存在关联的近似周期知识发现问题。首先构造了时态近似周期关联规则模型，然后提出了一个基于SOM（自组织特征映射网络）聚类来寻找近似周期关联规则的算法，对十多年来的股票数据和高频股票数据分别进行了一些实验，实验表明该算法是有效的。

关键词: 数据挖掘, 自组织映射, 近似周期, 关联规则

CLC Number:

TP339

JIANG Hua¹，MENG Zhi-qing²，ZHOU Ke-jiang¹，XIAO Jian-hua¹，HUANG Yue¹. Knowledge discovery for a kind of association rules of temporal approximate periodicity[J]. Computer Engineering and Applications, 2010, 46(20): 241-244.

姜华¹，孟志青²，周克江¹，肖建华¹，黄悦¹. 一类时态近似周期关联规则的知识发现问题[J]. 计算机工程与应用, 2010, 46(20): 241-244.

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Knowledge discovery for a kind of association rules of temporal approximate periodicity

一类时态近似周期关联规则的知识发现问题

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