首页 | 官方网站   微博 | 高级检索  
     

带兴趣度的序列概念格模型及其构造
引用本文:李云,徐涛,田素方,李拓.带兴趣度的序列概念格模型及其构造[J].计算机应用,2008,28(3):726-728.
作者姓名:李云  徐涛  田素方  李拓
作者单位:扬州大学,信息工程学院,江苏,扬州,225009
摘    要:为了有效地挖掘用户所需的序列模式,在序列数据库中对每个项目引入了兴趣度值以示其不同的重要程度。在对概念格模型进行扩展的基础上,提出了基于兴趣度的序列概念格模型及其构建算法。实例表明算法能减少冗余序列的产生,挖掘出满足用户需求的序列模式。

关 键 词:数据挖掘  序列模式  概念格  兴趣度
文章编号:1001-9081(2008)03-0726-03
收稿时间:2007-09-18
修稿时间:2007年9月18日

Sequence concept lattice model with interest measure and its construction
LI Yun,XU Tao,TIAN Su-fang,LI Tuo.Sequence concept lattice model with interest measure and its construction[J].journal of Computer Applications,2008,28(3):726-728.
Authors:LI Yun  XU Tao  TIAN Su-fang  LI Tuo
Affiliation:LI Yun,XU Tao,TIAN Su-fang,LI Tuo(Institute of Information Engineering,Yangzhou University,Yangzhou Jiangsu 225009,China)
Abstract:In order to mine efficiently the sequential patterns according to user's requirements, the interest measure for every item was introduced to reveal the different importance in the sequence database. And on the basis of extending the concept lattice model, the sequence concept lattice model with interest measure and its construction algorithm were presented. The instance shows that the algorithm can reduce the redundant sequences and mine the sequential patterns that satisfy user's requirements.
Keywords:data mining  sequential patterns  concept lattice  interest measure
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《计算机应用》浏览原始摘要信息
点击此处可从《计算机应用》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号