Maggi, Fabrizio Maria, juhendajaFrancescomarino, Chiara Di, juhendajaMigriauli, LeksoTartu Ülikool. Loodus- ja täppisteaduste valdkondTartu Ülikool. Arvutiteaduse instituut2023-09-262023-09-262021https://hdl.handle.net/10062/93153Process mining is a discipline, part of Business Process Management (BPM) that involves analyzing business processes on the basis of event logs. Due to its potential benefits, process mining has gained significant academic interest and hundreds of papers have been published on the topic. In the scope of this paper, a Systematic Literature Review (SLR) was conducted to ease the burden on business analysts by providing a clear, value-driven framework for process mining use cases and providing an overview of papers that contribute to the value of transparency, more specifically business process discovery. A total of 839 papers were scanned and filtered throughout the SLR. 267 of these papers were identified to be about process mining methods that contribute to the value of transparency and 183 of them were about business process discovery. These 183 papers are analyzed in greater detail throughout the thesis.engopenAccessAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Process MiningBusiness Process ManagementSystematic Literature ReviewBusiness Process DiscoverymagistritöödinformaatikainfotehnoloogiainformaticsinfotechnologyThesis