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山东大学学报(理学版) ›› 2016, Vol. 51 ›› Issue (8): 105-110.doi: 10.6040/j.issn.1671-9352.0.2016.200

• • 上一篇    

数据的动态挖掘与P-增广矩阵关系

郭华龙,任雪芳,张凌   

  1. 龙岩学院信息工程学院, 福建 龙岩 364012
  • 收稿日期:2016-05-03 出版日期:2016-08-20 发布日期:2016-08-08
  • 作者简介:郭华龙(1977— ),男,硕士,讲师,研究方向为软件工程、信息系统与系统识别.E-mail: ly_ghl@126.com;
  • 基金资助:
    福建省重点学科资助项目;福建省中青年教师教育科研项目(JA15495,JA15503);龙岩学院协同创新资助项目;龙岩学院重点学科资助项目

Relationships between dynamic data mining and P-augmented matrix

GUO Hua-long, REN Xue-fang, ZHANG Ling   

  1. School of Information Engineering, Longyan University, Longyan 364012, Fujian, China
  • Received:2016-05-03 Online:2016-08-20 Published:2016-08-08

摘要: P-增广矩阵是通过利用P-集合的结构与动态特征,改进普通增广矩阵A*提出的。P-增广矩阵是由内P-增广矩阵A(-overF)与外P-增广矩阵AF构成的矩阵对,或者(A(-overF),AF)是P-增广矩阵。在一定条件下,P-增广矩阵(A(-overF),AF)被还原成普通增广矩阵A*。利用P-增广矩阵的结构与动态特征,给出数据的动态挖掘研究及其与P-增广矩阵的关系。提出数据的动态挖掘的内P-增广矩阵判定定理,外P-增广矩阵判定定理与P-增广矩阵判定定理,给出数据的动态挖掘的P-增广矩阵准则,利用这些理论结果,给出一个简单应用。

关键词: P-集合, 数据动态挖掘, 挖掘准则, 判定定理, P-增广矩阵

Abstract: P-augmented matrix is proposed by adopting the structures and dynamic characteristics of packet sets to improve ordinary augmented matrix A*. P-augmented matrix consists of internal P-augmented matrix A(-overF) and outer P-augmented matrix AF, denoted by(A(-overF),AF). Under some certain conditions, P-augmented matrix can be reduced into ordinary augmented matrix A*. By using the structures and dynamic characteristics of P-augmented matrix, the research of dynamic data mining is carried out. Several relationships, theorems and criterion are obtained as follows: the relationships between dynamic data mining and P-augmented matrix; the internal P-augmented matrix decision theorem, the outer P-augmented matrix decision theorem and the P-augmented matrix decision theorem for data dynamic mining; the P-augmented matrix criterion for dynamic data mining. Finally, these results are verified by an application.

Key words: P-sets, dynamic data mining, mining criterion, decision theorem, P-augmented matrix

中图分类号: 

  • O144
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