000			01690ntm a2200313 4500
005			20250421080335.0
008			190312s2018 ts a bm 000 0 eng d
037			_bGift
040			_aAE-ShU _cUKB
043			_aa-ts---
050		4	_aTH438.4 _b.S555 2018
100	1		_aShikhli, Mohammed Siraj Eddin
245	1	0	_aPrediction analysis of schedule delay percentage in capital projects using data mining techniques / _cby Mohammed Siraj Eddin Shikhli ; supervisor Ahmed Mohammed Hammad.
260			_a, _c2018.
300			_axi, 12-108 leaves : _bill. (col.) ; _c30 cm.+ _e1 CD-Rom ( 4 3/4 in.)
502			_aThesis (M.Sc.) --University of Sharjah, 2018.
504			_aBibliography : leave 103-108.
500			_aThis thesis is submitted in partial fulfilment of the requirements for the degree of M.Sc. in Engineering Management in the Department of Industrial Engineering and Engineering Management, University of Sharjah ; under the supervision of Dr. Ahmed Mohammed Hammad.
546			_aAbstract in English.
610	2	4	_aUniversity of Sharjah _xDissertations.
650		0	_aConstruction industry _zUnited Arab Emirates _xManagement.
650		0	_aProduction scheduling _zUnited Arab Emirates
650		0	_aConstruction projects _zUnited Arab Emirates
700	1		_aHammad, Ahmed Mohammed, _esupervisor
710	2		_aUniversity of Sharjah. _bCollege of Engineering. _bDepartment of Industrial Engineering and Engineering Management. _gM.Sc.
850	4		_uhttps://myuos.sharjah.ac.ae/en/library/Online%20Books/Thesis/b12799713.pdf _zFull Text
856			_uhttps://uos-theses.sharjah.ac.ae/Files_Pool/Theses/Flip/1279971/mobile/index.html _zFull Text
942			_cDIS
999			_c16459 _d16459