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数据的动态挖掘与P-增广矩阵关系
引用本文:郭华龙,任雪芳,张凌.数据的动态挖掘与P-增广矩阵关系[J].山东大学学报(理学版),2016,51(8):105-110.
作者姓名:郭华龙  任雪芳  张凌
作者单位:龙岩学院信息工程学院, 福建 龙岩 364012
基金项目: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
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  
收稿时间:2016-05-03

Relationships between dynamic data mining and P-augmented matrix
GUO Hua-long,REN Xue-fang,ZHANG Ling.Relationships between dynamic data mining and P-augmented matrix[J].Journal of Shandong University,2016,51(8):105-110.
Authors:GUO Hua-long  REN Xue-fang  ZHANG Ling
Institution:School of Information Engineering, Longyan University, Longyan 364012, Fujian, China
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.
Keywords:P-sets  dynamic data mining  mining criterion  decision theorem  P-augmented matrix  
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