000			01850cam a2200349 a 4500
003			EG-GiCUC
005			20250223030757.0
008			130225s2012 ua d f m 000 0 eng d
040			_aEG-GiCUC _beng _cEG-GiCUC
041	0		_aeng
049			_aDeposite
097			_aM.Sc
099			_aCai01.12.17.M.Sc.2012.Sh.D
100	0		_aShahira Mohamed Mahmoud Abdelfatah
245	1	0	_aData - mining as a competition enforcement tool / _cShahira M. M. Abdelfatah ; Supervised Laila Fahmy Abdelal , Mervat H. Gheith , Diyaa Abdein M. Atiya
246	1	5	_aالمعالجة المعلوماتية للبيانات وحماية المنافسه فى الاسواق الاقتصادية
260			_aCairo : _bShahira Mohamed Mahmoud Abdelfatah , _c2012
300			_a73P. : _bcharts ; _c25cm
502			_aThesis (M.Sc.) - Cairo University - Faculty of Science - Department of Mathematics
520			_aThe essential objective in this thesis is to find a system for enforcing competition by detecting fraud in procurement bidding . We use data mining techniques , to continuously sift through market data and proactively look for odd patterns or anomalous signs that might indicate the existence of bid rigging in procurement . We provide an overiew on data mining and bid rigging , then we propose and experiment with two data mining techniques (decision trees and association rules) for the detection of bid rigging activities in market data
530			_aIssued also as CD
653		4	_aAssociation rules
653		4	_aBid rigging
653		4	_aData mining
700	0		_aDiyaa Abdein M. Atiya , _eSupervisor
700	0		_aLaila Fahmy Abdelal , _eSupervisor
700	0		_aMervat H. Gheith , _eSupervisor
856			_uhttp://172.23.153.220/th.pdf
905			_aFatma _eCataloger
905			_aNazla _eRevisor
942			_2ddc _cTH
999			_c41716 _d41716