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›› 2003, Vol. 29 ›› Issue (20): 87-.

• 论文 • 上一篇    下一篇

具有双时间维约束的股票序列模式挖掘

龚惠群,黄超,彭江平   

  1. 湖南大学工商管理学院,复旦大学计算机与信息技术系,湖南大学会计学院 长沙 410082
  • 发布日期:2003-10-25

Sequential Rules Mining of Two Time Constraints in Stock Analysis

GONG Huiqun1,HUANG Chao2, PENG Jiangping3   

  1. (1.School of Business Administration, Hunan University,Changsha 410082; 2.Computer and Information Technology Department , Fudan University,Shanghai 200433; 3.School of Accounting , Hunan University ,Changsha 410082 )
  • Published:2003-10-25

摘要: 建立了在证券交易分析中常见的具有双时间维约束的交易规则模型,针对该模型采掘的特殊性,文章提出了两个数据预处理的算法,最后给出了此类规则的挖掘算法。实验证明该模型计算法是正确有效的。

关键词: 双时间维约束, 序列模式, 股票分析

Abstract: This paper constructs the model of the transaction rules with two time constraints that can always be found in stock analysis. Aiming at the particularity of such model, it gives two data pre-process algorithms, and implements the mining algorithm of such rules at last.The model and algorithm are proved to be correct and efficient by experiment.

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