dc.creator | Bala, Saimir | es |
dc.creator | Cabanillas Macías, Cristina | es |
dc.creator | Mendling, Jan | es |
dc.creator | Rogge-Solti, Andreas | es |
dc.creator | Polleres, Axel | es |
dc.date.accessioned | 2020-11-19T07:14:24Z | |
dc.date.available | 2020-11-19T07:14:24Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Bala, S., Cabanillas Macías, C., Mendling, J., Rogge-Solti, A. y Polleres, A. (2016). Mining Project-Oriented Business Processes. En BPM 2016: 13th International Conference on Business Process Management (425-440), Innsbruck, Austria: Springer. | |
dc.identifier.isbn | 978-3-319-23062-7 | es |
dc.identifier.issn | 0302-9743 | es |
dc.identifier.uri | https://hdl.handle.net/11441/102710 | |
dc.description.abstract | Large engineering processes need to be monitored in detail
regarding when what was done in order to prove compliance with rules
and regulations. A typical problem of these processes is the lack of control
that a central process engine provides, such that it is di cult to
track the actual course of work even if data is stored in version control
systems (VCS). In this paper, we address this problem by de ning a
mining technique that helps to generate models that visualize the work
history as GANTT charts. To this end, we formally de ne the notion of a
project-oriented business process and a corresponding mining algorithm.
Our evaluation based on a prototypical implementation demonstrates
the bene ts in comparison to existing process mining approaches for this
speci c class of processes. | es |
dc.description.sponsorship | Austrian Research Promotion Agency (FFG) 845638 (SHAPE) | es |
dc.format | application/pdf | es |
dc.format.extent | 17 | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | BPM 2016: 13th International Conference on Business Process Management (2016), p 425-440 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Process mining | es |
dc.subject | Projects | es |
dc.subject | Project mining | es |
dc.subject | Version control systems | es |
dc.title | Mining Project-Oriented Business Processes | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.projectID | 845638 (SHAPE) | es |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-319-23063-4_28 | es |
dc.identifier.doi | 10.1007/978-3-319-23063-4_28 | es |
dc.publication.initialPage | 425 | es |
dc.publication.endPage | 440 | es |
dc.eventtitle | BPM 2016: 13th International Conference on Business Process Management | es |
dc.eventinstitution | Innsbruck, Austria | es |
dc.relation.publicationplace | Cham, Switzerland | es |
dc.contributor.funder | Austrian Research Promotion Agency (FFG) | es |