Online feature selection system for big data classification based on multi-objective automated negotiation
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software
Reference42 articles.
1. Efficient approximate solutions to mutual information based global feature selection;Venkateswara,2015
2. Classification performance improvement using random subset feature selection algorithm for data mining;Lakshmipadmaja;Big Data Res.,2018
3. Simultaneous spectral-spatial feature selection and extraction for hyperspectral images;Zhang;IEEE Trans. Cybern.,2018
4. Feature selection using localized generalization error for supervised classification problems using rbfnn;Ng;Pattern Recognit.,2008
5. Local feature selection for data classification;Armanfard;IEEE Trans. Pattern Anal. Mach. Intell.,2015
Cited by 38 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Evolutionary computation for feature selection in classification: A comprehensive survey of solutions, applications and challenges;Swarm and Evolutionary Computation;2024-10
2. Learning Discriminative Features Using ANN-based Progressive Learning Model for Efficient Big Data Classification;Pertanika Journal of Science and Technology;2024-08-08
3. Novelty Detection and Feedback based Online Feature Subset Selection for Data Streams via Parallel Hybrid Particle Swarm Optimization Algorithm;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2024-07-14
4. A Human-Computer Negotiation Model Based on Sentiment Analysis and Big Data;Lecture Notes in Computer Science;2024
5. Golden eagle based improved Att-BiLSTM model for big data classification with hybrid feature extraction and feature selection techniques;Network: Computation in Neural Systems;2023-12-28
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3