Multi-objective evolution of oblique decision trees for imbalanced data binary classification
Author:
Publisher
Elsevier BV
Subject
General Mathematics,General Computer Science
Reference101 articles.
1. Enhancing Multi-Class Classification of Random Forest Using Random Vector Functional Neural Network and Oblique Decision Surfaces;Katuwal,2018
2. A system for induction of oblique decision trees;Murthy;J. Artif. Intell. Res.,1994
3. A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets;LPez;Knowl. Based Syst.,2013
4. Conception of a dominance-based multi-objective local search in the context of classification rule mining in large and imbalanced data sets;Jacques;Appl. Soft Comput.,2015
5. Under-sampling approaches for improving prediction of the minority class in an imbalanced dataset;Yen;Intell. Control Autom.,2006
Cited by 15 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. Two-phase cost-sensitive-learning-based framework on customer-side quality inspection for TFT-LCD industry;Journal of Intelligent Manufacturing;2024-07-07
2. Multiobjective trajectory optimization with a cutting and padding encoding strategy for single-UAV-assisted mobile edge computing system;Swarm and Evolutionary Computation;2022-12
3. Recent advances in decision trees: an updated survey;Artificial Intelligence Review;2022-10-10
4. A hybrid ensemble and evolutionary algorithm for imbalanced classification and its application on bioinformatics;Computational Biology and Chemistry;2022-06
5. Induction of decision trees as classification models through metaheuristics;Swarm and Evolutionary Computation;2022-03
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