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Rough set discretization: Equal frequency binning, entropy/MDL and semi naives algorithms of intrusion detection system

Noor Suhana, Sulaiman and Rohani, Abu Bakar (2016) Rough set discretization: Equal frequency binning, entropy/MDL and semi naives algorithms of intrusion detection system. In: 7th International Conference on Applications of Digital Information and Web Technologies, ICADIWT 2016, 29-31 March 2016 , National Taiwan Ocean University Keelung; Taiwan. pp. 77-87., 282. ISSN 09226389 ISBN 978-161499636-1

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Abstract

Discretization of real value attributes is a vital task in data mining, particularly in the classification problem. Discretization part is also the crucial part resulting the good classification. Empirical results have shown that the quality of classification methods depends on the discretization algorithm in preprocessing step. Universally, discretization is a process of searching for partition of attribute domains into intervals and unifying the values over each interval. Significant discretization technique suit to the Intrusion Detection System (IDS) data need to determine in IDS framework, since IDS data consist of huge records that need to be examined in system. There are many Rough Set discretization technique that can be used, among of them are Semi Naives and Equal Frequency Binning.

Item Type: Conference or Workshop Item (Keynote)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Rough set; Semi naives; Equal frequency binning; Discretization; Intrusion detection system
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Dr. Rohani Abu Bakar
Date Deposited: 13 Jul 2018 03:24
Last Modified: 13 Jul 2018 03:24
URI: http://umpir.ump.edu.my/id/eprint/21207
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