000			02719cam a2200337 a 4500
003			EG-GiCUC
005			20250223031825.0
008			171014s2017 ua f m 000 0 eng d
040			_aEG-GiCUC _beng _cEG-GiCUC
041	0		_aeng
049			_aDeposite
097			_aM.Sc
099			_aCai01.20.04.M.Sc.2017.Di.M
100	0		_aDina Sayed Bayomie
245	1	0	_aMining unlabeled event log / _cDina Sayed Bayomie ; Supervised Ehab Ezzat Hassanein , Ahmed Hany Awad
246	1	5	_aالتنقيب فى سجلات الاحداث الغير معنونه
260			_aCairo : _bDina Sayed Bayomie , _c2017
300			_a83 Leaves ; _c30cm
502			_aThesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Information System
520			_aMost of Information systems produce event logs as an evidence of the tasks that have been executed. If the execution of these tasks is controlled by a process execution engine, the resulting events are automatically correlated to each other. By correlation, we mean that the events which are executed by the same process instance, they have the same case identi{uFB01}er. Process min- ing uses these logs to perform process discovery and conformance checking with the original process model. It assumes that these logs have correlated events. Realistically speaking, it is rare to have a managed execution of busi-ness processes. Information systems that execute tasks are semi-automated systems or unwell integrated systems and have no central orchestration sys- tem. Thus, the generated event logs are uncorrelated and called unlabeled event logs. Manual preprocessing steps are required to correlate the events so that the process mining can proceed. Which is a tedious and error-prone task due to a large number of events that must be processed. In this research, we address the problem of correlating the unlabeled event logs that can{u2019}t be used directly in any process mining techniques. This problem has received little attention in the community of business pro- cess management. The existed approaches focus on de{uFB01}ning the executed behavior with a limitation of assuming that the process is an acyclic busi- ness process only. In this thesis, we focus on correlating the logs that are generated from the cyclic business processes and creating the labeled logs
530			_aIssued also as CD
653		4	_aCyclic processes
653		4	_aEvent correlation
653		4	_aUnlabeled log
700	0		_aAhmed Hany Awad , _eSupervisor
700	0		_aEhab Ezzat Hassanein , _eSupervisor
856			_uhttp://172.23.153.220/th.pdf
905			_aNazla _eRevisor
905			_aSamia _eCataloger
942			_2ddc _cTH
999			_c62928 _d62928