A method of data classification based on parallel genetic algorithm

被引：0
|
作者：
Shi, YX [1 ]
Meng, ZQ
Cai, ZX
Benhabib, B
机构：
[1] Xiangtan Univ, Sch Informat Engineer, Xiangtan 411105, Peoples R China
[2] Cent S Univ, Sch Informat Engineer, Changsha 410082, Peoples R China
[3] Univ Toronto, Dept Mech & Ind Engn, Toronto, ON M5S 3G8, Canada
来源：
FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PT 1, PROCEEDINGS | 2005年 / 3613卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An effectual genetic coding is designed by constructing full-classification rule set. This coding results in full use of all kinds of excellent traits of genetic algorithm in data classification. The genetic algorithm is paralleled in process, So this leads to the improvement of classification and its ability to deal with great data. Some defects of current classifier algorithm are tided over by this algorithm. The analysis of experimental results is given to illustrate the effectiveness of this algorithm.
引用
收藏
页码：1217 / 1222
页数：6
相关论文
共 50 条
  • [21] A cooperative genetic algorithm based on extreme learning machine for data classification
    Bai, Lixia
    Li, Hong
    Gao, Weifeng
    Xie, Jin
    SOFT COMPUTING, 2022, 26 (17) : 8585 - 8601
  • [22] A Study of Data Classification for Hybrid Storage System Based on Genetic Algorithm
    Qiu, Chunmin
    Shan, Jie
    PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON E-EDUCATION, E-BUSINESS AND INFORMATION MANAGEMENT, 2014, 91 : 231 - 234
  • [23] Hybrid Adaboost based on Genetic Algorithm for Gene Expression Data Classification
    Meng, Yaqiong
    Lu, Huijuan
    Yan, Ke
    Ye, Minchao
    12TH CHINESE CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK AND SOCIAL COMPUTING (CHINESECSCW 2017), 2017, : 257 - 258
  • [24] A cooperative genetic algorithm based on extreme learning machine for data classification
    Lixia Bai
    Hong Li
    Weifeng Gao
    Jin Xie
    Soft Computing, 2022, 26 : 8585 - 8601
  • [25] Ensemble Data Classification based on Diversity of Classifiers Optimized by Genetic Algorithm
    Thammasiri, Dech
    Meesad, Phayung
    MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8, 2012, 433-440 : 6572 - +
  • [26] Adaptive Genetic Algorithm Based Data Classification Rules Learning System
    Shi, Haibin
    Li, Yi
    ADVANCED MATERIALS AND INFORMATION TECHNOLOGY PROCESSING, PTS 1-3, 2011, 271-273 : 818 - 822
  • [27] Malware algorithm classification method based on big data analysis
    Zhao, Jingling
    Chen, Shilei
    Cao, Mengchen
    Cui, Baojiang
    INTERNATIONAL JOURNAL OF WEB AND GRID SERVICES, 2017, 13 (01) : 112 - 130
  • [28] Data classification using KNN-fuzzy method optimized by a genetic algorithm
    Rosa, JLA
    Ebecken, NFF
    APPLICATIONS OF HIGH-PERFORMANCE COMPUTING IN ENGINEERING VII, 2002, 7 : 169 - 178
  • [29] Cloud computing-based parallel genetic algorithm for gene selection in cancer classification
    Dino Kečo
    Abdulhamit Subasi
    Jasmin Kevric
    Neural Computing and Applications, 2018, 30 : 1601 - 1610
  • [30] Cloud computing-based parallel genetic algorithm for gene selection in cancer classification
    Keco, Dino
    Subasi, Abdulhamit
    Kevric, Jasmin
    NEURAL COMPUTING & APPLICATIONS, 2018, 30 (05): : 1601 - 1610
12345