000			01660cam a2200337 a 4500
003			EG-GiCUC
005			20250223030939.0
008			140308s2013 ua dh f m 000 0 eng d
040			_aEG-GiCUC _beng _cEG-GiCUC
041	0		_aeng
049			_aDeposite
097			_aM.Sc
099			_aCai01.20.04.M.Sc.2013.Ot.M
100	0		_aOthman Abdo Aly Yahya
245	1	0	_aMigrating association rules mining algorithms to cloud computing / _cOthman Abdo Aly Yahya ; Supervised Osman Hegazy , Ehab Hassanein
246	1	5	_aترحيل خوارزميات التنقيب عن القواعد المترابطة الى الحوسبة السحابية
260			_aCairo : _bOthman Abdo Aly Yahya , _c2013
300			_a75 Leaves : _bcharts , facsimiles ; _c30cm
502			_aThesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Information System
520			_aAssociation rules mining is one of the most important areas of data mining its task is to find all subsets of items which frequently occur and the relationship between them by using two main steps: finding frequent itemsets (core step) and generating association rule (straightforward step) . Apriori algorithm is the most established algorthm for finding frequent itemsets from a transactional dataset
530			_aIssued also as CD
653		4	_aApriori algorithms
653		4	_aAssociation rules mining
653		4	_aData mining
700	0		_aEhab Hassanein , _eSupervisor
700	0		_aOsman Hegazy , _eSupervisor
856			_uhttp://172.23.153.220/th.pdf
905			_aNazla _eRevisor
905			_aSoheir _eCataloger
942			_2ddc _cTH
999			_c45271 _d45271