000			01648cam a2200349 a 4500
003			EG-GiCUC
005			20250223031011.0
008			140621s2013 ua h f m 000 0 eng d
040			_aEG-GiCUC _beng _cEG-GiCUC
041	0		_aeng
049			_aDeposite
097			_aM.Sc
099			_aCai01.20.02.M.Sc.2013.Ba.I
100	0		_aBasma Mostafa Abdelghany
245	1	3	_aAn intelligent approach for improving feature reduction \ _cBasma Mostafa Abdelghany ; Supervised Mohammed H. Rasmy , Mohammed Elbeltagy , Mohamed Saleh
246	1	5	_aمنهج ذكى لتحسين اختزال الخصائص
260			_aCairo : _bBasma Mostafa Abdelghany , _c2013
300			_a89 Leaves : _bfacsimiles ; _c30cm
502			_aThesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Operation Research and Decision Support
520			_aThe proliferation of `Big Data` [2] in real- world applications makes efficient data mining challenging to achieve . Big data involve problems with high dimensionality and a large number of instances that become difficult to process using traditional data mining tools . Consequently there's a growing need for improving existing dimenionality reduction techniques
530			_aIssued also as CD
653		4	_aAnt colony optimization
653		4	_aClassification
653		4	_aData mining
700	0		_aMohamed Saleh , _eSupervisor
700	0		_aMohammed Elbeltagy , _eSupervisor
700	0		_aMohammed Hassan Rasmy , _eSupervisor
856			_uhttp://172.23.153.220/th.pdf
905			_aNazla _eRevisor
905			_aSoheir _eCataloger
942			_2ddc _cTH
999			_c46351 _d46351