A fuzzy approach based for document datasets clustering

المؤلفون المشاركون

Hadi, Raghad Muhammad
Mawlud, Abir Tariq
Hashim, Sukaynah Hasan

المصدر

Journal of College of Education for Pure Sciences

العدد

المجلد 9، العدد 1 (31 مارس/آذار 2019)، ص ص. 1-13، 13ص.

الناشر

جامعة ذي قار كلية التربية للعلوم الصرفة

تاريخ النشر

2019-03-31

دولة النشر

العراق

عدد الصفحات

13

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الموضوعات

الملخص EN

In large Computers; the huge volume of files actually generate disorder to analyze it.

So, it desires to design a clustering techniques which reduce the costs of analysts.

Document clustering is an essential process 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.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Hadi, Raghad Muhammad& Hashim, Sukaynah Hasan& Mawlud, Abir Tariq. 2019. A fuzzy approach based for document datasets clustering. Journal of College of Education for Pure Sciences،Vol. 9, no. 1, pp.1-13.
https://search.emarefa.net/detail/BIM-891561

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Hadi, Raghad Muhammad…[et al.]. A fuzzy approach based for document datasets clustering. Journal of College of Education for Pure Sciences Vol. 9, no. 1 (Mar. 2019), pp.1-13.
https://search.emarefa.net/detail/BIM-891561

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Hadi, Raghad Muhammad& Hashim, Sukaynah Hasan& Mawlud, Abir Tariq. A fuzzy approach based for document datasets clustering. Journal of College of Education for Pure Sciences. 2019. Vol. 9, no. 1, pp.1-13.
https://search.emarefa.net/detail/BIM-891561

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references : p. 12-13

رقم السجل

BIM-891561