Brief Overview of Selected Research Directions and Applications of Process Mining in KRaKEn Research Group

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dc.contributor.authorKluza, Krzysztof
dc.contributor.authorZaremba, Mateusz
dc.contributor.authorSepioło, Dominik
dc.contributor.authorWiśniewski, Piotr
dc.contributor.authorAdrian, Weronika T.
dc.contributor.authorGaudio, Maria Teresa
dc.contributor.authorJemioło, Paweł
dc.contributor.authorAdrian, Marek
dc.contributor.authorJobczyk, Krystian
dc.contributor.authorŚlażyński, Mateusz
dc.contributor.authorStachuta-Terlecka, Bernadetta
dc.contributor.authorLigęza, Antoni
dc.date.accessioned2023-09-21T11:58:09Z
dc.date.available2023-09-21T11:58:09Z
dc.date.issued2023
dc.description.abstractProcess mining allows for exploring processes using data from event logs. By providing insights into how processes are actually executed, rather than how they are supposed to be executed, process mining can be used for optimizing business processes and improving organizational efficiency. In this exploratory paper, we report on selected research threads related to process mining carried out within KRaKEn Research Group at AGH University of Science and Technology. We introduce a collection of initial ideas that require further exploration. Our research threads are concerned with the use of process mining techniques 1) for discovering processes from unstructured data, specifically text from e-mails, 2) for explaining black-box machine learning models, using process models as a global explanation, and 3) for analyzing data from different food industry systems to identify inefficiencies and provide recommendations for improvement.en_EN
dc.identifier.citationKluza K., Zaremba M., Sepioło D., Wiśniewski P., Adrian W.T., Gaudio M.T., Jemioło P., Adrian M., Jobczyk K., Ślażyński M., Stachura-Terlecka B., Ligęza A., Brief Overview of Selected Research Directions and Applications of Process Mining in KRaKEn Research Group. W: Progress in Polish Artificial Intelligence Research 4, Wojciechowski A. (Ed.), Lipiński P. (Ed.)., Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, s. 151-156, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.22.
dc.identifier.doi10.34658/9788366741928.22
dc.identifier.isbn978-83-66741-92-8
dc.identifier.urihttp://hdl.handle.net/11652/4798
dc.identifier.urihttps://doi.org/10.34658/9788366741928.22
dc.language.isoenen_EN
dc.page.numbers. 151-156
dc.publisherWydawnictwo Politechniki Łódzkiejpl_PL
dc.publisherLodz University of Technology Pressen_EN
dc.relation.ispartofWojciechowski A. (Ed.), Lipiński P. (Ed.)., Progress in Polish Artificial Intelligence Research 4, Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.
dc.rightsDla wszystkich w zakresie dozwolonego użytkupl_PL
dc.rightsFair use conditionen_EN
dc.rights.licenseLicencja PŁpl_PL
dc.rights.licenseLUT Licenseen_EN
dc.subjectprocess miningen_EN
dc.subjectexplainabilityen_EN
dc.subjectknowledge engineeringen_EN
dc.subjecteksploracja procesówpl_PL
dc.subjectwyjaśnialnośćpl_PL
dc.subjectinżynieria wiedzypl_PL
dc.titleBrief Overview of Selected Research Directions and Applications of Process Mining in KRaKEn Research Groupen_EN
dc.typeRozdział - monografiapl_PL
dc.typeChapter - monographen_EN

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