GA-Based Close Relationship Matching under Social Network Environment

被引：0
|
作者：
Jiang, Hong [1 ]
Yu, Qingsong [1 ]
Shen, Jiajie [1 ]
Liu, Chang [2 ]
机构：
[1] East China Normal Univ, Sch Informat Sci & Technol, Shanghai, Peoples R China
[2] Ohio Univ, Coll Elect Engn & Comp Sci, Athens, OH 45701 USA
来源：
2015 11TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC) | 2015年
关键词：
Social Network; Genetic Algorithm; Close Relationship Matching; Rule Extraction; GENETIC ALGORITHMS; LOVE;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
A set of rules based on Genetic Algorithms are proposed in this paper to match the close relationships in social networks. The correctness and efficiency of the improved GA are verified by theoretical derivation as well as empirical study on commonly used datasets from the UCI repository.
引用
收藏
页码：226 / 232
页数：7
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