Adaptive Genetic Algorithm Based Data Classification Rules Learning System

被引：0
|
作者：
Shi, Haibin [1 ]
Li, Yi [1 ]
机构：
[1] China Univ Min & Technol, Sch Comp Sci & Technol, Xuzhou, Jiangsu, Peoples R China
来源：
ADVANCED MATERIALS AND INFORMATION TECHNOLOGY PROCESSING, PTS 1-3 | 2011年 / 271-273卷
关键词：
Data Classification; Genetic Algorithm; Adaptive Genetic Algorithm; Classification System; Classification Rule;
D O I：
10.4028/www.scientific.net/AMR.271-273.818
中图分类号：
G40 [教育学];
学科分类号：
040101 ; 120403 ;
摘要：
It's a worthy research topic to use genetic algorithm for classification rules in data mining. In this paper, it was studied and researched in-depth. Firstly, we combined genetic algorithm and machine learning together, and then analyzed architecture of the genetic algorithm-based classification system, and also its development concrete structure was given. Secondly, we proposed a data classification rules learning system based on adaptive genetic algorithm, which can learn the classification rules accurately from the dataset. Finally the standard Play Tennis dataset was used for a closed test and after learning the system got three classification rules all with 100% accuracy rate, which fully demonstrated the feasibility of this algorithm.
引用
收藏
页码：818 / 822
页数：5
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