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| 003 | EG-GiCUC | ||
| 008 | 111027s2011 ua d f m 000 0 eng d | ||
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_aEG-GiCUC _beng _cEG-GiCUC |
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| 041 | 0 | _aeng | |
| 049 | _aDeposite | ||
| 097 | _aM.Sc | ||
| 099 | _aCai01.18.02.M.Sc.2011.Os.U | ||
| 100 | 0 | _aOsama Sayed Abdelrahman | |
| 245 | 1 | 0 |
_aUsing fuzzy logic to enhance rough sets data mining techniques / _cOsama Sayed Abdelrahman ; Supervised Hesham Ahmed Hefny |
| 246 | 1 | 5 | _aإستخدام المنطق الفازى لتحسين تقنيات الفئات الخشنة للتنقيب فى البيانات |
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_aCairo : _bOsama Sayed Abdelrahman , _c2011 |
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_a132 Leaves : _bcharts ; _c30cm |
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| 502 | _aThesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Computer and Information Science | ||
| 520 | _aThe 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 | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aData mining | |
| 653 | 4 | _aFuzzy rough sets | |
| 653 | 4 | _aFuzzy sets | |
| 700 | 0 |
_aHesham Ahmed Hefny , _eSupervisor |
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| 905 |
_aFatma _eCataloger |
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_aNazla _eRevisor |
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_2ddc _cTH |
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_c36048 _d36048 |
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