Outlier detection based on multi-dimensional clustering and local density-Reference-Cited by-同舟云学术

Outlier detection based on multi-dimensional clustering and local density

Published:2017-06 Issue:6 Volume:24 Page:1299-1306
ISSN:2095-2899
Container-title:Journal of Central South University
language:en
Short-container-title:J. Cent. South Univ.

Author:

Shou Zhao-yu,Li Meng-ya,Li Si-min

Publisher

Springer Science and Business Media LLC

Subject

Metals and Alloys,General Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11771-017-3535-4.pdf

Reference20 articles.

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3. YE H, KITAGAWA H, XIAO J. Continuous angle-based outlier detection on high-dimensional data streams [C]// Proceedings of the 19th International Database Engineering & Applications Symposium. Yokohama, Japan, 2015: 162–167.

4. PANDA M, PATRA M R. A novel classification via clustering method for anomaly based network intrusion detection system [J]. International Journal of Recent Trends in Engineering, 2009, 2(1): 211–232.

5. SHUCHITA D, SINGH K. Classification based outlier detection techniques [J]. International Journal of Computer Trends and Technology, 2012, 3(2): 294–298.

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