Pendiskretan data set kasar menggunakan ta’akulan boolean

Data discretization of rough set towards real attribute values is one of the important aspect in the data mining concepts, particularly the ones which involved classification problems. Emphirical results showed that the quality of the classification depends on the discretization algorithm used in...

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Main Authors:	Rokiah @ Rozita Ahmad, Maslina Darus, Siti Mariyam Shamsuddin, Azuraliza Abu Bakar
Format:	Article
Language:	English
Published:	Penerbit UKM 2004
Online Access:	http://journalarticle.ukm.my/2159/ http://journalarticle.ukm.my/2159/ http://journalarticle.ukm.my/2159/1/vol1_abstract2.pdf

id	ukm-2159
recordtype	eprints
spelling	ukm-21592016-12-14T06:30:54Z http://journalarticle.ukm.my/2159/ Pendiskretan data set kasar menggunakan ta’akulan boolean Rokiah @ Rozita Ahmad, Maslina Darus, Siti Mariyam Shamsuddin, Azuraliza Abu Bakar, Data discretization of rough set towards real attribute values is one of the important aspect in the data mining concepts, particularly the ones which involved classification problems. Emphirical results showed that the quality of the classification depends on the discretization algorithm used in the input data pre-processing phase. In general, discretization is a process of search-ing for partition of attribute domains into intervals and unifying the values over each interval. Discretization process involves searching of cuts which determine the intervals acquired. All values which lie within each interval are mapped to the same values, in effect converting numerical attributes that can be treated as being symbolic. The search for cuts is performed on the internal integer representation of the input decision system. This paper describes the role of rough set with Boolean reasoning discretization process in converting the real values of printed mathematical symbol that leads to the better recognition rates using neural network Penerbit UKM 2004 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/2159/1/vol1_abstract2.pdf Rokiah @ Rozita Ahmad, and Maslina Darus, and Siti Mariyam Shamsuddin, and Azuraliza Abu Bakar, (2004) Pendiskretan data set kasar menggunakan ta’akulan boolean. Jurnal Teknologi Maklumat dan Multimedia, 1 . pp. 15-26. ISSN 1823-0113 http://www.ftsm.ukm.my/ejms/volume1.asp
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	Data discretization of rough set towards real attribute values is one of the important aspect in the data mining concepts, particularly the ones which involved classification problems. Emphirical results showed that the quality of the classification depends on the discretization algorithm used in the input data pre-processing phase. In general, discretization is a process of search-ing for partition of attribute domains into intervals and unifying the values over each interval. Discretization process involves searching of cuts which determine the intervals acquired. All values which lie within each interval are mapped to the same values, in effect converting numerical attributes that can be treated as being symbolic. The search for cuts is performed on the internal integer representation of the input decision system. This paper describes the role of rough set with Boolean reasoning discretization process in converting the real values of printed mathematical symbol that leads to the better recognition rates using neural network
format	Article
author	Rokiah @ Rozita Ahmad, Maslina Darus, Siti Mariyam Shamsuddin, Azuraliza Abu Bakar,
spellingShingle	Rokiah @ Rozita Ahmad, Maslina Darus, Siti Mariyam Shamsuddin, Azuraliza Abu Bakar, Pendiskretan data set kasar menggunakan ta’akulan boolean
author_facet	Rokiah @ Rozita Ahmad, Maslina Darus, Siti Mariyam Shamsuddin, Azuraliza Abu Bakar,
author_sort	Rokiah @ Rozita Ahmad,
title	Pendiskretan data set kasar menggunakan ta’akulan boolean
title_short	Pendiskretan data set kasar menggunakan ta’akulan boolean
title_full	Pendiskretan data set kasar menggunakan ta’akulan boolean
title_fullStr	Pendiskretan data set kasar menggunakan ta’akulan boolean
title_full_unstemmed	Pendiskretan data set kasar menggunakan ta’akulan boolean
title_sort	pendiskretan data set kasar menggunakan ta’akulan boolean
publisher	Penerbit UKM
publishDate	2004
url	http://journalarticle.ukm.my/2159/ http://journalarticle.ukm.my/2159/ http://journalarticle.ukm.my/2159/1/vol1_abstract2.pdf
first_indexed	2023-09-18T19:35:22Z
last_indexed	2023-09-18T19:35:22Z
_version_	1777405234641895424

Pendiskretan data set kasar menggunakan ta’akulan boolean

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