1. Aalst, W. van der, Adriansyah, A., Medeiros, A. K. A. de, Arcieri, F., Baier, T., Blickle, T., Bose, J. C., Brand, P. van den, Brandtjen, R., & Buijs, J. (2011). Process mining manifesto. International Conference on Business Process Management, 169–194.
2. Autodesk. (2022). About Journal Files. Autodesk REVIT 2022 Help. https://help.autodesk.com/view/RVT/2022/ENU/?guid=GUID-477C6854-2724-4B5D-8B95-9657B636C48D
3. Bose, R. J. C., Mans, R. S., & van der Aalst, W. M. (2013). Wanna improve process mining results? 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), 127–134.
4. Forcael, E., Martinez-Rocamora, A., Sepulveda-Morales, J., Garcia-Alvarado, R., Nope-Bernal, A., & Leighton, F. (2020). Behavior and Performance of BIM Users in a Collaborative Work Environment. Applied Sciences-Basel, 10(6), 2199. DOI: 10.3390/app10062199
5. Gao, W., Wu, C., Huang, W., Lin, B., & Su, X. (2021). A data structure for studying 3D modeling design behavior based on event logs. In Automation in Construction (Vol. 132). DOI: 10.1016/j.autcon.2021.103967
6. Jang, S., Lee, G., Shin, S., & Roh, H. (2023). Lexicon-based content analysis of BIM logs for diverse BIM log mining use cases. Advanced Engineering Informatics, 57, 102079. DOI: 10.1016/j.aei.2023.102079
7. Jang, S., Shin, S., & Lee, G. (2021). Logging Modeling Events to Enhance the Reproducibility of a Modeling Process. ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction, 38, 256–263.
8. Kouhestani, S., & Nik-Bakht, M. (2020). IFC-based process mining for design authoring. In Automation in Construction (Vol. 112, p. 103069). DOI: 10.1016/j.autcon.2019.103069
9. Lin, J.-R., & Zhou, Y.-C. (2020). Semantic classification and hash code accelerated detection of design changes in BIM models. In Automation in Construction (Vol. 115). DOI: 10.1016/j.autcon.2020.103212
10. Messner, J., Anumba, C., Dubler, C., Goodman, S., Kasprzak, C., Kreider, R., Leicht, R., Saluja, C., & Zikic, N. (2019). BIM Project Execution Planning Guide (v. 2.2). Computer Integrated Construction Research Program, Pennsylvania State University. https://openlibrary-repo.ecampusontario.ca/jspui/handle/123456789/768
11. Pan, Y., & Zhang, L. (2020). BIM log mining: Learning and predicting design commands. Automation in Construction, 112, 103107. DOI: 10.1016/j.autcon.2020.103107
12. Pan, Y., & Zhang, L. (2021). A BIM-data mining integrated digital twin framework for advanced project management. In Automation in Construction (Vol. 124). DOI: 10.1016/j.autcon.2021.103564
13. Sacks, R., Eastman, C., Lee, G., & Teicholz, P. (2018). BIM handbook: A guide to building information modeling for owners, designers, engineers, contractors, and facility managers. John Wiley & Sons.
14. Shin, S. (2023). A BIM object-based BIM modeling productivity measurement method using BIM log mining. Yonsei University.
15. Shin, S., Jang, S., Roh, H., & Lee, G. (2022). A Critical Review of Measuring the Modeling Productivity of Building Information Modeling. Proceedings of the 19th International Conference on Computing in Civil & Building Engineering (ICCCBE), Capetown, South Africa. DOI: 10.1007/978-3-031-35399-4_33
16. Suriadi, S., Andrews, R., ter Hofstede, A. H., & Wynn, M. T. (2017). Event log imperfection patterns for process mining: Towards a systematic approach to cleaning event logs. Information Systems, 64, 132–150.
17. Yarmohammadi, S., & Castro-Lacouture, D. (2018). Automated performance measurement for 3D building modeling decisions. In Automation in Construction (Vol. 93, pp. 91–111). DOI: 10.1016/j.autcon.2018.05.011
18. Yarmohammadi, S., Pourabolghasem, R., & Castro-Lacouture, D. (2017). Mining implicit 3D modeling patterns from unstructured temporal BIM log text data. Automation in Construction, 81, 17–24. DOI: 10.1016/j.autcon.2017.04.012
19. Zhang, L., & Ashuri, B. (2018). BIM log mining: Discovering social networks. Automation in Construction, 91, 31–43. DOI: 10.1016/j.autcon.2018.03.009

Informazioni sul capitolo

Informazioni bibliografiche