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

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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

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