Using fuzzy logic to enhance rough sets data mining techniques / Osama Sayed Abdelrahman ; Supervised Hesham Ahmed Hefny
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- إستخدام المنطق الفازى لتحسين تقنيات الفئات الخشنة للتنقيب فى البيانات [Added title page title]
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قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.18.02.M.Sc.2011.Os.U (Browse shelf(Opens below)) | Not for loan | 01010110056212000 | ||
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مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.18.02.M.Sc.2011.Os.U (Browse shelf(Opens below)) | 56212.CD | Not for loan | 01020110056212000 |
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Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Computer and Information Science
The aim of this thesis is to integrate both of fuzzy and rough sets concepts for developing an enhanced methodology for data mining that allows efficient rule extraction of huge databases . In this thesis , a flexible tool has been built to extract rules from large databases using the proppsed approaced . The developed tool enables the user to represent his own fuzzy terms with a graphical user interface and to extract the zuzzy rules corresponding to such fuzzy terms
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