Feature Selection for Classification Using an Ant System Approach

被引：0
|
作者：
Abd-Alsabour, Nadia [1 ]
机构：
[1] Bond Univ, Sch Informat Technol, Southport, Qld 4229, Australia
来源：
DISTRIBUTED, PARALLEL AND BIOLOGICALLY INSPIRED SYSTEMS | 2010年 / 329卷
关键词：
Ant colony optimization; pattern recognition; support vector machine and feature selection; COLONY OPTIMIZATION; VARIABLE SELECTION; QSAR;
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：
Many applications such as pattern recognition and data mining require selecting a subset of the input features in order to represent the whole set of features. The aim of feature selection is to remove irrelevant, redundant or noisy features while keeping the most informative ones. In this paper, an ant system approach for solving feature selection for classification is presented. The results we got are promising in terms of the accuracy of the classifier and the number of selected features in all the used datasets.
引用
收藏
页码：233 / 241
页数：9
相关论文
共 50 条
  • [41] Arrhythmia Classification Using Hybrid Feature Selection Approach and Ensemble Learning Technique
    Mamun, Mohammad Mahbubur Rahman Khan
    Alouani, Ali
    2021 IEEE CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE), 2021,
  • [42] An embedded feature selection approach for depression classification using short text sequences
    Priya, S. Kavi
    Karthika, K. Pon
    APPLIED SOFT COMPUTING, 2023, 147
  • [43] A machine learning approach for feature selection traffic classification using security analysis
    Muhammad Shafiq
    Xiangzhan Yu
    Ali Kashif Bashir
    Hassan Nazeer Chaudhry
    Dawei Wang
    The Journal of Supercomputing, 2018, 74 : 4867 - 4892
  • [44] Sarcasm classification: A novel approach by using Content Based Feature Selection Method
    Kumar, H. M. Keerthi
    Harish, B. S.
    8TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING & COMMUNICATIONS (ICACC-2018), 2018, 143 : 378 - 386
  • [45] FEATURE SELECTION FOR CLASSIFICATION BY USING A GA-BASED NEURAL NETWORK APPROACH
    Li, Te-Sheng
    JOURNAL OF INDUSTRIAL AND PRODUCTION ENGINEERING, 2006, 23 (01) : 55 - 64
  • [46] Breast Cancer Detection and Classification Using Hybrid Feature Selection and DenseXtNet Approach
    Alshehri, Mohammed
    MATHEMATICS, 2023, 11 (23)
  • [47] Fault diagnosis system of induction motors using feature extraction, feature selection and classification algorithm
    Yang, Bo-Suk
    Han, Tian
    Yin, Zhong-Jun
    JSME INTERNATIONAL JOURNAL SERIES C-MECHANICAL SYSTEMS MACHINE ELEMENTS AND MANUFACTURING, 2006, 49 (03) : 734 - 741
  • [48] Ant Colony Optimization Based Feature Selection Method for QEEG Data Classification
    Erguzel, Turker Tekin
    Ozekes, Serhat
    Gultekin, Selahattin
    Tarhan, Nevzat
    PSYCHIATRY INVESTIGATION, 2014, 11 (03) : 243 - 250
  • [49] Hybrid scatter and ant search feature subset selection: applications in classification problems
    Tallon-Ballesteros, Antonio J.
    Correia, Luis
    Fong, Simon
    2021 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT DATA SCIENCE TECHNOLOGIES AND APPLICATIONS (IDSTA), 2021, : 150 - 153
  • [50] A rough set approach to feature selection based on ant colony optimization
    Chen, Yumin
    Miao, Duoqian
    Wang, Ruizhi
    PATTERN RECOGNITION LETTERS, 2010, 31 (03) : 226 - 233
12345