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008 | 180814s2017 ua dh f m 000 0 eng d | ||
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_aEG-GiCUC _beng _cEG-GiCUC |
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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 |
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300 |
_a185 Leaves : _bcharts , facsimiles ; _c30cm |
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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 |
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856 | _uhttp://172.23.153.220/th.pdf | ||
905 |
_aNazla _eRevisor |
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905 |
_aShimaa _eCataloger |
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_2ddc _cTH |
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_c67051 _d67051 |