Applying Variable Precision Rough Set for Clustering Diabetics Dataset
Computational models of the artificial intelligence such as rough set theory have several applications. Rough set-based data clustering can be considered further as a technique for medical decision making. This paper presents the results of an experimental study of a rough-set based clustering techn...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SERSC
2014
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/3788/ http://umpir.ump.edu.my/id/eprint/3788/1/2013_maseri_Applying.pdf |
| _version_ | 1848817298244108288 |
|---|---|
| author | Herawan, Tutut Wan Maseri, Wan Mohd Noraziah, Ahmad |
| author_facet | Herawan, Tutut Wan Maseri, Wan Mohd Noraziah, Ahmad |
| author_sort | Herawan, Tutut |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Computational models of the artificial intelligence such as rough set theory have several applications. Rough set-based data clustering can be considered further as a technique for medical decision making. This paper presents the results of an experimental study of a rough-set based clustering technique using Variable Precision Rough Set (VPRS). Here, we employ our proposed clustering technique [12] through a medical dataset of patients suspected diabetic. Our results indicate that the VPRS-based technique is better than that the standard rough set-based techniques in the process of selecting a clustering attribute. |
| first_indexed | 2025-11-15T01:19:33Z |
| format | Article |
| id | ump-3788 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T01:19:33Z |
| publishDate | 2014 |
| publisher | SERSC |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-37882017-08-15T03:58:00Z http://umpir.ump.edu.my/id/eprint/3788/ Applying Variable Precision Rough Set for Clustering Diabetics Dataset Herawan, Tutut Wan Maseri, Wan Mohd Noraziah, Ahmad QA Mathematics Computational models of the artificial intelligence such as rough set theory have several applications. Rough set-based data clustering can be considered further as a technique for medical decision making. This paper presents the results of an experimental study of a rough-set based clustering technique using Variable Precision Rough Set (VPRS). Here, we employ our proposed clustering technique [12] through a medical dataset of patients suspected diabetic. Our results indicate that the VPRS-based technique is better than that the standard rough set-based techniques in the process of selecting a clustering attribute. SERSC 2014 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/3788/1/2013_maseri_Applying.pdf Herawan, Tutut and Wan Maseri, Wan Mohd and Noraziah, Ahmad (2014) Applying Variable Precision Rough Set for Clustering Diabetics Dataset. International Journal of Multimedia and Ubiquitous Engineering (IJMUE), 9 (1). pp. 219-230. ISSN 1975-0080. (Published) http://www.sersc.org/journals/IJMUE/vol9_no1_2014/21.pdf |
| spellingShingle | QA Mathematics Herawan, Tutut Wan Maseri, Wan Mohd Noraziah, Ahmad Applying Variable Precision Rough Set for Clustering Diabetics Dataset |
| title | Applying Variable Precision Rough Set for Clustering Diabetics Dataset |
| title_full | Applying Variable Precision Rough Set for Clustering Diabetics Dataset |
| title_fullStr | Applying Variable Precision Rough Set for Clustering Diabetics Dataset |
| title_full_unstemmed | Applying Variable Precision Rough Set for Clustering Diabetics Dataset |
| title_short | Applying Variable Precision Rough Set for Clustering Diabetics Dataset |
| title_sort | applying variable precision rough set for clustering diabetics dataset |
| topic | QA Mathematics |
| url | http://umpir.ump.edu.my/id/eprint/3788/ http://umpir.ump.edu.my/id/eprint/3788/ http://umpir.ump.edu.my/id/eprint/3788/1/2013_maseri_Applying.pdf |