A Mobile Data Minging Algorithm Based on Discrete Fourier Transform by Genetic Algorithm

被引：0
|
作者：
Wei Shuang [1 ]
Gao Li [1 ]
Sun Zhiye [1 ]
Zheng Shijue [1 ]
机构：
[1] Cent China Normal Univ, Dept Comp Sci, Wuhan, Hubei, Peoples R China
来源：
PROGRESS IN MEASUREMENT AND TESTING, PTS 1 AND 2 | 2010年 / 108-111卷
关键词：
discrete Fourier transform; genetic algorithm; DFTGA; mobile data mining;
D O I：
10.4028/www.scientific.net/AMR.108-111.1452
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In the mobile environment, considering resource constraint, the frequent disconnect, synchronous data flow, the cost of communication, mobility and so on, combined with discrete Fourier transform (Discrete Fourier Transform, DFT) algorithm to facilitate time-domain and frequency domain conversion advantages as well as the genetic algorithm's (Genetic Algorithm, GA) good global search capability,this paper proposes a mobile data mining model which is based on the combination of Discrete Fourier Transform and Genetic Algorithm (DFTGA).
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页码：1452 / 1457
页数：6
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