Design of Association Rules Data Mining System Based on Improved Ant Colony Algorithm

被引：0
|
作者：
Sun, Xiaoying [1 ]
机构：
[1] Nanyang Inst Technol, Sch Comp & Informat Engn, Nanyang 473004, Henan, Peoples R China
来源：
PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT, INFORMATION AND MECHANICAL ENGINEERING (EMIM 2017) | 2017年 / 76卷
关键词：
Ant Colony algorithm; Data mining; Association rule; Group of wisdom; Path;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Data Mining is from large, incomplete, noisy, fuzzy and random Data, extract implicit in it, people don't know in advance, but it is potentially useful information and knowledge of the process. The Ant Colony algorithm is actually positive feedback principle, and it is an algorithm combining the heuristic algorithm. The Ant Colony algorithm is easy to fall into local optimum and slow convergence, many new models are put forward, such as ACA based on cloud model. The paper presents design of association rules data mining system Based on improved ant colony algorithm.
引用
收藏
页码：157 / 161
页数：5
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