COG: local decomposition for rare class analysis-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

COG: local decomposition for rare class analysis

Published:2010-01-22 Issue:2 Volume:20 Page:191-220
ISSN:1384-5810
Container-title:Data Mining and Knowledge Discovery
language:en
Short-container-title:Data Min Knowl Disc

Author:

Wu Junjie,Xiong Hui,Chen Jian

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://link.springer.com/content/pdf/10.1007/s10618-009-0146-1.pdf

Reference41 articles.

1. Boser B, Guyon I, Vapnik V (1992) A training algorithm for optimal margin classifiers. In: Proceedings of the 5th annual workshop on computational learning theory, pp 144–152

2. Chang C-C, Lin C-J (2001) LIBSVM—a library for support vector machines. http://www.csie.ntu.edu.tw/~cjlin/libsvm/

3. Chawla N, Bowyer K, Hall L, Kegelmeyer W (2002) SMOTE: synthetic minority over-sampling technique. J Artif Intell Res 16: 321–357

4. Cohen W (1995) Fast effective rule induction. In: Proceedings of the 12th international conference on machine learning, pp 115–123

5. Cristianini N, Shawe-Taylor J (2000) An introduction to support vector machines and other kernel-based learning methods. Cambridge University Press, Cambridge

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. Clustering-Based Oversampling Algorithm for Multi-class Imbalance Learning;Journal of Classification;2024-08-22

2. Robust ranking by ensembling of diverse models and assessment metrics;Journal of Statistical Computation and Simulation;2022-07-10

3. Credit Card Fraud Detection Using Boundary Reconstruction and Integrated Classification;2022 4th International Conference on Big Data Engineering;2022-05-26

4. A Study on Various Applications of Data Mining and Supervised Learning Techniques in Business Fraud Detection;Machine Learning Applications for Accounting Disclosure and Fraud Detection;2021

5. Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network;Applied Intelligence;2020-09-05

同舟云学术

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