A regression method to compare network data and modeling data using generalized additive model

Sooyoung Chae; Hosub Lee; Jaeik Cho; Manhyun Jung; Jongin Lim; Jongsub Moon

doi:10.1007/978-3-642-00306-6_14

A regression method to compare network data and modeling data using generalized additive model

Sooyoung Chae, Hosub Lee, Jaeik Cho, Manhyun Jung, Jongin Lim, Jongsub Moon

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper suggests a method to check whether the real network dataset and modeling dataset for real network has statistically similar characteristics. The method we adopt in this paper is a Generalized Additive Model. By using this method, we show how similar the MIT/LL Dataset and the KDD CUP 99' Dataset are regarding their characteristics. It provided reasonable outcome for us to confirm that MIT/LL Dataset and KDD Cup Dataset are not statistically similar.

Original language	English
Title of host publication	Information Security Applications - 9th International Workshop, WISA 2008, Revised Selected Papers
Pages	190-200
Number of pages	11
DOIs	https://doi.org/10.1007/978-3-642-00306-6_14
Publication status	Published - 2009
Event	9th International Workshop on Information Security Applications, WISA 2008 - Jeju Island, Korea, Republic of Duration: 2008 Sept 23 → 2008 Sept 25

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5379 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	9th International Workshop on Information Security Applications, WISA 2008
Country/Territory	Korea, Republic of
City	Jeju Island
Period	08/9/23 → 08/9/25

Keywords

Data set evaluation
Network data comparing
Statistical data analysis

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-00306-6_14

Cite this

Chae, S., Lee, H., Cho, J., Jung, M., Lim, J., & Moon, J. (2009). A regression method to compare network data and modeling data using generalized additive model. In Information Security Applications - 9th International Workshop, WISA 2008, Revised Selected Papers (pp. 190-200). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5379 LNCS). https://doi.org/10.1007/978-3-642-00306-6_14

A regression method to compare network data and modeling data using generalized additive model. / Chae, Sooyoung; Lee, Hosub; Cho, Jaeik et al.
Information Security Applications - 9th International Workshop, WISA 2008, Revised Selected Papers. 2009. p. 190-200 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5379 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Chae, S, Lee, H, Cho, J, Jung, M, Lim, J & Moon, J 2009, A regression method to compare network data and modeling data using generalized additive model. in Information Security Applications - 9th International Workshop, WISA 2008, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5379 LNCS, pp. 190-200, 9th International Workshop on Information Security Applications, WISA 2008, Jeju Island, Korea, Republic of, 08/9/23. https://doi.org/10.1007/978-3-642-00306-6_14

Chae S, Lee H, Cho J, Jung M, Lim J, Moon J. A regression method to compare network data and modeling data using generalized additive model. In Information Security Applications - 9th International Workshop, WISA 2008, Revised Selected Papers. 2009. p. 190-200. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-00306-6_14

Chae, Sooyoung ; Lee, Hosub ; Cho, Jaeik et al. / A regression method to compare network data and modeling data using generalized additive model. Information Security Applications - 9th International Workshop, WISA 2008, Revised Selected Papers. 2009. pp. 190-200 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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A regression method to compare network data and modeling data using generalized additive model

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