000			02671cam a2200349 a 4500
003			EG-GiCUC
005			20250223032009.0
008			180526s2017 ua dh f m 000 0 eng d
040			_aEG-GiCUC _beng _cEG-GiCUC
041	0		_aeng
049			_aDeposite
097			_aM.Sc
099			_aCai01.18.05.M.Sc.2017.Mo.I
100	0		_aMohamed Mohamed Ramadan Ali Alsoul
245	1	3	_aAn intelligent technique for big data analysis / _cMohamed Mohamed Ramadan Ali Alsoul ;Supervised Hegazy Mohamed Zaher , Abdelhamid M. Alabbasi , Naglaa R.Saeid
246	1	5	_aأسلوب تقنية ذكية لتحليل البيانات الكبيرة
260			_aCairo : _bMohamed Mohamed Ramadan Ali Alsoul , _c2017
300			_a87 Leaves : _bcharts , facsimiles ; _c30cm
502			_aThesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Operations Research
520			_aNow we witness the era of big data. That term "Big Data" means that data are difficult to be classified and manipulated easily due to its nature that variety of forms including text, voice, and video (Russom P., 2011). The immense storage medium, which have the ability to deal with a large variety of data and store them easily, have become a basic requirement to obtain clear information to make a decisions in the shortest possible period of time. Therefore, most the current traditional data analytic methods may not be suitable for processing streaming data with high feature dimensions because only a few methods have low time complexity, which is linear with both the number of samples and features. Furthermore, decision makers need to be able to gain valuable insights from such rapidity, varied and changing data, ranging from daily transactions to social network data and various other sources. The question that arises now is how to develop a high performance platform so as to efficiently analyze Big Data and how to design an appropriate mining algorithm to find the useful things from Big Data. In this methodology, used intelligent techniques for Big Data analysis by dividing the population data into the number of frames and taking a sample from each, and then collecting all the samples in one data for statistical analysis
530			_aIssued also as CD
653		4	_aBig data
653		4	_aBig data analysis
653		4	_aIntelligent technique
700	0		_aAbdelhamid M. Alabbasi , _eSupervisor
700	0		_aHegazy Mohamed Zaher , _eSupervisor
700	0		_aNaglaa R.Saeid , _eSupervisor
856			_uhttp://172.23.153.220/th.pdf
905			_aNazla _eRevisor
905			_aShimaa _eCataloger
942			_2ddc _cTH
999			_c66336 _d66336