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...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | en |
| Published: |
Penerbit UKM
2004
|
| Online Access: | http://journalarticle.ukm.my/2159/1/vol1_abstract2.pdf http://journalarticle.ukm.my/2159/ http://www.ftsm.ukm.my/ejms/volume1.asp |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1831354459466235904 |
|---|---|
| author | Rokiah @ Rozita Ahmad, Maslina Darus, Siti Mariyam Shamsuddin, Azuraliza Abu Bakar, |
| author_facet | Rokiah @ Rozita Ahmad, Maslina Darus, Siti Mariyam Shamsuddin, Azuraliza Abu Bakar, |
| author_sort | Rokiah @ Rozita Ahmad, |
| building | Tun Sri Lanang Library |
| collection | Institutional Repository |
| content_provider | Universiti Kebangsaan Malaysia |
| content_source | UKM Journal Article Repository |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my-ukm.journal-2159 |
| institution | Universiti Kebangsaan Malaysia |
| language | en |
| publishDate | 2004 |
| publisher | Penerbit UKM |
| record_format | eprints |
| spelling | my-ukm.journal-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 |
| spellingShingle | Rokiah @ Rozita Ahmad, Maslina Darus, Siti Mariyam Shamsuddin, Azuraliza Abu Bakar, Pendiskretan data set kasar menggunakan ta’akulan boolean |
| title | 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_short | Pendiskretan data set kasar menggunakan
ta’akulan boolean |
| title_sort | pendiskretan data set kasar menggunakan
ta’akulan boolean |
| url | http://journalarticle.ukm.my/2159/1/vol1_abstract2.pdf http://journalarticle.ukm.my/2159/ http://www.ftsm.ukm.my/ejms/volume1.asp |
| url_provider | http://journalarticle.ukm.my/ |