An Efficient Algorithm for Distributed Outlier Detection in Large Multi-Dimensional Datasets-Reference-Cited by-同舟云学术

An Efficient Algorithm for Distributed Outlier Detection in Large Multi-Dimensional Datasets

Published:2015-11 Issue:6 Volume:30 Page:1233-1248
ISSN:1000-9000
Container-title:Journal of Computer Science and Technology
language:en
Short-container-title:J. Comput. Sci. Technol.

Author:

Wang Xi-Te,Shen De-Rong,Bai Mei,Nie Tie-Zheng,Kou Yue,Yu Ge

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Computer Science Applications,Hardware and Architecture,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s11390-015-1596-0.pdf

Reference27 articles.

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2. Barnett V, Lewis T. Outliers in Statistical Data. Wiley New York, 1994.

3. Rousseeuw P J, Leroy A M. Robust Regression and Outlier Detection. John Wiley & Sons, 2003.

4. Knorr E M, Ng R T. Algorithms for mining distancebased outliers in large datasets. In Proc. the 24th International Conference on Very Large Data Bases, August 1998, pp. 392-403.

5. Ramaswamy S, Rastogi R, Shim K. Efficient algorithms for mining outliers from large data sets. ACM SIGMOD Record, 2000, 29(2): 427–438.

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