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

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

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 al...

Full description

Bibliographic Details
Main Authors: Noor Suhana, Sulaiman, Rohani, Abu Bakar
Format: Article
Language:English
Published: Digital Information Research Foundation, India 2017
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/21203/
http://umpir.ump.edu.my/id/eprint/21203/
http://umpir.ump.edu.my/id/eprint/21203/1/Rough%20Set%20Discretization%20Equal%20Frequency%20Binning%2C%20Entropy%20MDL%20and%20Semi%20Naives.pdf
id ump-21203
recordtype eprints
spelling ump-212032018-07-13T02:59:00Z http://umpir.ump.edu.my/id/eprint/21203/ Rough set discretization: equal frequency binning, entropy/MDL and semi naives algorithms of intrusion detection system Noor Suhana, Sulaiman Rohani, Abu Bakar QA75 Electronic computers. Computer science 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. Digital Information Research Foundation, India 2017-09 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/21203/1/Rough%20Set%20Discretization%20Equal%20Frequency%20Binning%2C%20Entropy%20MDL%20and%20Semi%20Naives.pdf Noor Suhana, Sulaiman and Rohani, Abu Bakar (2017) Rough set discretization: equal frequency binning, entropy/MDL and semi naives algorithms of intrusion detection system. Journal of Intelligent Computing, 8 (3). pp. 91-97. ISSN 0976-9013 http://www.dline.info/jic/fulltext/v8n3/jicv8n3_2.pdf
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Noor Suhana, Sulaiman
Rohani, Abu Bakar
Rough set discretization: equal frequency binning, entropy/MDL and semi naives algorithms of intrusion detection system
description 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.
format Article
author Noor Suhana, Sulaiman
Rohani, Abu Bakar
author_facet Noor Suhana, Sulaiman
Rohani, Abu Bakar
author_sort Noor Suhana, Sulaiman
title Rough set discretization: equal frequency binning, entropy/MDL and semi naives algorithms of intrusion detection system
title_short Rough set discretization: equal frequency binning, entropy/MDL and semi naives algorithms of intrusion detection system
title_full Rough set discretization: equal frequency binning, entropy/MDL and semi naives algorithms of intrusion detection system
title_fullStr Rough set discretization: equal frequency binning, entropy/MDL and semi naives algorithms of intrusion detection system
title_full_unstemmed Rough set discretization: equal frequency binning, entropy/MDL and semi naives algorithms of intrusion detection system
title_sort rough set discretization: equal frequency binning, entropy/mdl and semi naives algorithms of intrusion detection system
publisher Digital Information Research Foundation, India
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/21203/
http://umpir.ump.edu.my/id/eprint/21203/
http://umpir.ump.edu.my/id/eprint/21203/1/Rough%20Set%20Discretization%20Equal%20Frequency%20Binning%2C%20Entropy%20MDL%20and%20Semi%20Naives.pdf
first_indexed 2023-09-18T22:31:01Z
last_indexed 2023-09-18T22:31:01Z
_version_ 1777416285976526848

Similar Items