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Article
Data Clustering Using Fuzzy Approach

Authors: Raghad M. Hadi --- Soukaena H. Hashem --- Abeer T. Maolood
Journal: Journal of Education for Pure Science مجلة التربية للعلوم الصرفة ISSN: 20736592 Year: 2017 Volume: 7 Issue: 3 Pages: 120-136
Publisher: Thi-Qar University جامعة ذي قار

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Abstract

AbstractIn largeComputers;the huge volume of files actually generate disorder to analyze it. So, itdesiresto design a clustering techniques which reduce the costs of analysts. Document clustering isan 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 usingReuters 21578 datasets according to the time required to cluster data. The proposed system improvesdata clustering algorithms by construct required fuzzy clusters. The proposed system showed a goodresult compared with clustering techniques in comparing with other clustering techniques in timeefficiency.


Article
Data Mining based Prediction of Medical data Using K-means algorithm

Author: Dr. Bushra M. Hussan
Journal: basrah journal of science البصرة للعلوم ISSN: 18140343 Year: 2012 Volume: 30 Issue: 1A english Pages: 46-56
Publisher: Basrah University جامعة البصرة

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Abstract

Data mining is one of the knowledge discovery steps in database, in which modelling techniquesare applied. In this paper, K-means method is applied for dealing with medical database forclustering. To increase the efficiency of mining process, some pre-processing need to be done to thedata. Experimental results showed the good accuracy when applied to the adjust data.


Article
A Fuzzy Approach Based for Document Datasets Clustering
النهج الضبابي لتصنيف مجموعة من الوثائق

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Abstract

Abstract 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.

الخلاصة في أجهزة الكمبيوتر هناك كم هائل من الملفات والتي تسبب اضطراب في تحليلها. لذلك تم تصميم نظام لتجميع الوثائق وقام هذا النظام بتقليل الجهد المطلوب في تحليل هذه البيانات. تصنيف او تجميع البيانات هي من العمليات الاساسية في تنقيب البيانات والتي تقوم باسترجاع المعلومات من هذه الوثائق بدقة مقبولة والتي تم تحقيقها باستخدام خوارزمية التصنيف المضبب . تم استخدم رويترز 21578 كبيانات كبيرة لأغراض التجربة. وتم أختبار النظام على هذه البيانات مقارنة بالوقت المطلوب لتصنيفها .النظام المقترح اعطى نتائج جيدة مقارنة بتقنيات التصنيف السابقة. وهذه المقارنة كانت على كفاءة الوقت المستغرق باجراء التصنيف.

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