An Intelligent Knowledge Discovery Method Based on Genetic Algorithms and Conditional Probability

被引：0

作者：

Yang, Da-zhai ^{[1
,2
]}

Liang, Chang-yong ^{[1
]}

Si, Guang-yun ^{[3
]}

Cheng, Wen-juan ^{[4
]}

机构：

[1] Hefei Univ Technol, Sch Management, Hefei, Peoples R China

[2] Econ & Informat Commiss Hefei, Hefei, Peoples R China

[3] Lib Anhui Univ, Hefei 230601, Peoples R China

[4] Hefei Univ Technol, Sch Comp & Informat, Hefei, Peoples R China

来源：

NETWORK COMPUTING AND INFORMATION SECURITY | 2012年 / 345卷

基金：

国家教育部科学基金资助; 中国国家自然科学基金;

关键词：

knowledge management; data mining; genetic algorithm; conditional probability; SIMILARITY;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we integrated genetic algorithm and conditional probability to build a novel retrieval method for knowledge discovery. Genetic algorithm and conditional probability are used to derive the weight of the attributes and improve traditional KNN respectively. Our method can be used for data mining issues with both continuous and discrete values of the characteristic attributes.

引用

页码：281 / +

页数：3

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