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008			191123s2019 ua d f m 000 0 eng d
040			_aEG-GiCUC _beng _cEG-GiCUC
041	0		_aeng
049			_aDeposite
097			_aM.Sc
099			_aCai01.20.02.M.Sc.2019.Di.P
100	0		_aDina Akmal Mohammed Ghanem
245	1	0	_aPredicting market value of Egyptian premier league players / _cDina Akmal Mohammed Ghanem ; Supervised Mohamed Mostafa Saleh , Ihab Ahmed Elkhodary , Nedaa Mohamed Ezzat
246	1	5	_aتوقع القيمة السوقية للاعبى الدورى المصرى الممتاز
260			_aCairo : _bDina Akmal Mohammed Ghanem , _c2019
300			_a163 Leaves : _bcharts ; _c30cm
502			_aThesis (M.Sc.) - Cairo University - Faculty of Computers and Artificial Intelligence - Department of Operations Research and Decision Support
520			_aPrediction of players{u2019} market value for the most popular sport on the planet through a data driven approach has no more became an option, it has always been left up to the subjectivity of the decision maker, however in the last decade football transformed from a sport to an industry where a systematic framework became crucial to address simple questions such as: what really determines the value of a footballer? How much should a club pay when purchasing a certain player in a certain position on pitch in a certain season? And based on which criteria such that any subjectivity is eliminated?. With the right answers to these questions, in the right time, a club as a revenue maker is assured to gain an unparalleled edge to its rivals. The Egyptian Premier League (EPL) is one of the top 5 leagues across Africa with total net worth of 159, 28 million Euros1, yet it still lacks a scientific approach to assign a proper estimate for a player{u2019}s market value in a given season. In an attempt to bridge this gap, this research presents an end-to-end fully data driven scientific framework covering all given functions and positions of a footballer on pitch, be it a defender, midfielder, attacker or even a goalkeeper. Players are modeled to be classified to one of three categories: High, Medium or Low price players according to their history of performance depicted on pitch for the last three seasons. The results were tested and validated on real data for the Egyptian Premier League players in seasons 2015-2016, 2016-2017 and 2017-2018 and as will be shown model evaluation showed very promising results for prediction
530			_aIssued also as CD
653		4	_aEgyptian premier league players
653		4	_aPredicting market
653		4	_aPrediction
700	0		_aIhab Ahmed Elkhodary , _eSupervisor
700	0		_aMohamed Mostafa Saleh , _eSupervisor
700	0		_aNedaa Mohamed Ezzat , _eSupervisor
856			_uhttp://172.23.153.220/th.pdf
905			_aAsmaa _eCataloger
905			_aNazla _eRevisor
942			_2ddc _cTH
999			_c75374 _d75374