Data clustering using fuzzy approach
Other Title(s)
تجميع مجموعة من الوثائق باستخدام التصنيف المضبب
Joint Authors
Hadi, Raghad Muhammad
Mahmud, Abir Tariq
Hashim, Sukaynah Hasan
Source
Journal of College of Education for Pure Sciences
Issue
Vol. 7, Issue 3 (30 Sep. 2017), pp.120-136, 17 p.
Publisher
University of Thi-Qar College of Education for Pure Sciences
Publication Date
2017-09-30
Country of Publication
Iraq
No. of Pages
17
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
In largeComputers;the huge volume of files actually generate disorder to analyze it.
So, it desiresto design a clustering techniques which reduce the costs of analysts.
Document clustering is an essentialprocess in text mining, which retrieve the information with an acceptable accuracy, which can be achieved by fuzzy clustering.
Reuters 21578 dataset is used for experimental purpose, the proposed system was tested by using Reuters 21578 datasets according to the time required to cluster data.
The proposed system improves data clustering algorithms by construct required fuzzy clusters.
The proposed system showed a good result compared with clustering techniques in comparing with other clustering techniques in time efficiency.
American Psychological Association (APA)
Hadi, Raghad Muhammad& Hashim, Sukaynah Hasan& Mahmud, Abir Tariq. 2017. Data clustering using fuzzy approach. Journal of College of Education for Pure Sciences،Vol. 7, no. 3, pp.120-136.
https://search.emarefa.net/detail/BIM-911781
Modern Language Association (MLA)
Hashim, Sukaynah Hasan…[et al.]. Data clustering using fuzzy approach. Journal of College of Education for Pure Sciences Vol. 7, no. 3 (Sep. 2017), pp.120-136.
https://search.emarefa.net/detail/BIM-911781
American Medical Association (AMA)
Hadi, Raghad Muhammad& Hashim, Sukaynah Hasan& Mahmud, Abir Tariq. Data clustering using fuzzy approach. Journal of College of Education for Pure Sciences. 2017. Vol. 7, no. 3, pp.120-136.
https://search.emarefa.net/detail/BIM-911781
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 135-136
Record ID
BIM-911781