000 01333cam a2200265 a 4500
003 EG-GiCUC
005 20250223032031.0
008 180814s2017 ua dh f m 000 0 eng d
040 _aEG-GiCUC
_beng
_cEG-GiCUC
041 0 _aeng
049 _aGift
097 _aM.Sc
099 _aCai01.34.M.Sc.2017.Ah.A
100 0 _aAhmed Wael Mohamed Khairy Ali Gondia
245 1 4 _aThe assessment of data mining techniques in analyzing construction project delays using risk management tools /
_cAhmed Wael Mohamed Khairy Ali Gondia ; Supervised Ayman Hamdy Nassar
260 _aCairo :
_bAhmed Wael Mohamed Khairy Ali Gondia ,
_c2017
300 _a185 Leaves :
_bcharts , facsimiles ;
_c30cm
502 _aThesis (M.Sc.) - German University - Faculty of Postgraduate Studies and Scientific Research - Department of Civil Engineering
520 _aConstruction project are perceived to be inherently risky due to their complex and multidisciplinary nature. In spite of the widespread adoption of delay analysis methodologies and risk management protocols by many organizations, time delay is inevitably associated with almost all construction projects
700 0 _aAyman Hamdy Nassar ,
_eSupervisor
856 _uhttp://172.23.153.220/th.pdf
905 _aNazla
_eRevisor
905 _aShimaa
_eCataloger
942 _2ddc
_cTH
999 _c67051
_d67051