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 Topic

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