dc.contributor.author | Savickas, Titas | |
dc.contributor.author | Vasilecas, Olegas | |
dc.date.accessioned | 2023-09-18T20:09:47Z | |
dc.date.available | 2023-09-18T20:09:47Z | |
dc.date.issued | 2014 | |
dc.identifier.other | (BIS)VGT02-000029459 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/147398 | |
dc.description.abstract | Business process (BP) mining has been recognized in business intelligence and reverse engineering fields because of the capabilities it has to discover knowledge about the implementation and execution of BP for analysis and improvement. Existing business knowledge extraction solutions in process mining context requires repeating analysis of event logs for each business knowledge extraction task. The probabilistic modelling could allow improved performance of BP analysis. Bayesian belief networks are a probabilistic modelling tool and the paper presents their application in BP mining. The paper shows that existing process mining algorithms are not suited for this, since they allow for loops in the extracted BP model that do not really exist in the event log, and presents a custom solution for directed acyclic graph extraction. The paper presents results of a synthetic log transformation into Bayesian belief network showing possible application in business intelligence extraction and improved decision support capabilities. | eng |
dc.format.extent | p. 383-390 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.source.uri | http://aisel.aisnet.org/isd2014/proceedings/ISDevelopment/2/ | |
dc.subject | IK01 - Informacinės technologijos, ontologinės ir telematikos sistemos / Information technologies, ontological and telematic systems | |
dc.title | Business process event log transformation into Bayesian belief network | |
dc.type | Straipsnis recenzuotame konferencijos darbų leidinyje / Paper published in peer-reviewed conference publication | |
dcterms.references | 16 | |
dc.type.pubtype | P1d - Straipsnis recenzuotame konferencijos darbų leidinyje / Article published in peer-reviewed conference proceedings | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
dc.contributor.department | Taikomosios informatikos institutas / Institute of Applied Computer Science | |
dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
dc.subject.en | Process mining | |
dc.subject.en | Bayesian belief networks | |
dc.subject.en | Business process analysis | |
dcterms.sourcetitle | Information systems development: Transforming organisations and society through information systems : proceedings of the 23rd international conference on information systems development (ISD2014 Croatia), September 2-4, 2014, Varaždin, Croatia | |
dc.publisher.name | University of Zagreb, Faculty of organization and informatics | |
dc.publisher.city | Varaždin | |
dc.identifier.elaba | 4103150 | |