A new framework for intrusion detection based on rough set theory

A new framework for intrusion detection based on rough set theory

Author(s):

Li, Z. ( Chongqing Univ. of Posts and Telecommunications (China) )
Wu, Y. ( Chongqing Univ. of Posts and Telecommunications (China) )
Wang, G. ( Chongqing Univ. of Posts and Telecommunications (China) )
Hai, Y. ( Chongqing Univ. of Posts and Telecommunications (China) )
He, Y. ( Chongqing Univ. of Posts and Telecommunications (China) )

Publication title:

Data mining and knowledge discovery : theory, tools, and technology

Title of ser.:

Proceedings of SPIE - the International Society for Optical Engineering

Ser. no.:

5433

Pub. Year:

2004

Page(from):

122

Page(to):

130

Pages:

9

Pub. info.:

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

ISSN:

0277786X

ISBN:

9780819453563 [0819453560]

Language:

English

Call no.:

P63600/5433

Type:

Conference Proceedings

Details

TDL ID:	ZA00013785
Series ID:	PA00000029
Conf. info. (Name):	Defense, Security, and Sensing : Data mining and knowledge discovery : theory, tools, and technology
Conf. info. (Number):	2004 : 6th
Conf. info. (Venue):	Orlando, FL, USA
Conf. info. (Date):	2004.04.12-2004.04.13

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