On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study

Published:2016-01-16 Issue:4 Volume:30 Page:891-927
ISSN:1384-5810
Container-title:Data Mining and Knowledge Discovery
language:en
Short-container-title:Data Min Knowl Disc

Author:

Campos Guilherme O.,Zimek Arthur,Sander Jörg,Campello Ricardo J. G. B.,Micenková Barbora,Schubert Erich,Assent Ira,Houle Michael E.

Funder

Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada (CA)

Teknologi og Produktion, Det Frie Forskningsråd (DK)

Fundação de Amparo à Pesquisa do Estado de São Paulo (BR)

Conselho Nacional de Desenvolvimento Científico e Tecnológico (BR)

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/s10618-015-0444-8.pdf

Reference71 articles.

1. Abe N, Zadrozny B, Langford J (2006) Outlier detection by active learning. In: Proceedings of the 12th ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), Philadelphia, pp 504–509. doi: 10.1145/1150402.1150459

2. Achtert E, Kriegel HP, Schubert E, Zimek A (2013) Interactive data mining with 3D-parallel-coordinate-trees. In: Proceedings of the ACM international conference on management of data (SIGMOD), New York, pp 1009–1012. doi: 10.1145/2463676.2463696

3. Aggarwal CC (2013) Outlier analysis. Springer, Berlin

4. Akoglu L, Tong H, Koutra D (2015) Graph-based anomaly detection and description: a survey. Data Mining Knowl Discov 29(3):626–688. doi: 10.1007/s10618-014-0365-y

5. Angiulli F, Pizzuti C (2002) Fast outlier detection in high dimensional spaces. In: Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD), Helsinki, pp 15–26. doi: 10.1007/3-540-45681-3_2

Cited by 409 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. Fusing multi-scale fuzzy information to detect outliers;Information Fusion;2024-03

2. Using Machine Learning Algorithms for Malware Detection;Düzce Üniversitesi Bilim ve Teknoloji Dergisi;2024-01-26

3. Outlier detection using conditional information entropy and rough set theory;Journal of Intelligent & Fuzzy Systems;2024-01-10

4. A new unsupervised outlier detection method;Journal of Intelligent & Fuzzy Systems;2024-01-10

5. irrelevant attribute resistance approach to binary classification for imbalanced data;Information Sciences;2024-01

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