A novel unsupervised anomaly detection based on robust principal component classifier [6241-29]

A novel unsupervised anomaly detection based on robust principal component classifier [6241-29]

Author(s):

Qiu, W.

Wu, Y.

Wang, G. ( Chongqing Univ. of Post and Telecommunications (China) )

Yang, X. S. ( Univ. of Guelph (Canada) )

Bai, J.

Li, J. ( Chongqing Univ. of Post and Telecommunications (China) )

1 more

Publication title:

Data mining, intrusion detection, information assurance, and data networks security 2006 : 17-18 April 2006, Kissimmee, Florida, USA

Title of ser.:

Proceedings of SPIE - the International Society for Optical Engineering

Ser. no.:

6241

Pub. Year:

2006

Page(from):

62410T

Pub. info.:

Bellingham, Wash.: SPIE - The International Society of Optical Engineering

ISSN:

0277786X

ISBN:

9780819462978 [0819462977]

Language:

English

Call no.:

P63600/6241

Type:

Conference Proceedings

Details

TDL ID:	ZA00016251
Series ID:	PA00000029
Conf. info. (Name):	Defense, Security, and Sensing : Data mining, intrusion detection, information assurance, and data networks security
Conf. info. (Number):	2006
Conf. info. (Venue):	Kissimmee, FL, USA
Conf. info. (Date):	2006.04.17-2006.04.18

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