A Multiple Model Cost-Sensitive Approach for Intrusion Detection-Reference-Cited by-同舟云学术

A Multiple Model Cost-Sensitive Approach for Intrusion Detection

Published:2000 Issue: Volume: Page:142-154
ISSN:0302-9743
Container-title:Machine Learning: ECML 2000
language:
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Author:

Fan Wei,Lee Wenke,Stolfo Salvatore J.,Miller Matthew

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-45164-1_15

Reference13 articles.

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3. P. Domingos. MetaCost: A general method for making classifiers cost-sensitive. In Proc. of the Fifth ACM SIGKDD Int’l. Conf. on Knowledge Discovery & Data Mining, pages 155–164, San Diego, CA, 1999. ACM. 143, 147

4. W. Fan, S. Stolfo, J. X. Zhang, and P. K. Chan. Adacost: misclassification cost-sensitive learning. In Proceedings of the Sixteenth International Conference on Machine Learning, pages 97–105, Bled, Slovenia, 1999. Morgan Kaufmann. 152

5. V. Jacobson, C. Leres, and S. McCanne. tcpdump. available via anonymous ftp to ftp.ee.lbl.gov, June 1989. 143

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