From post

копировать удалить добавить публикацию в буфер
Запись сообщества
посмотреть историю данной записи
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Mining Resource Profiles from Event Logs.

A. Pika, M. Leyer, M. Wynn, C. Fidge, A. ter Hofstede, и W. van der Aalst. ACM Trans. Manag. Inf. Syst., 8 (1): 1:1-1:30 (2017)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Predicting Deadline Transgressions Using Event Logs.A. Pika, W. van der Aalst, C. Fidge, A. ter Hofstede, и M. Wynn. Business Process Management Workshops, том 132 из Lecture Notes in Business Information Processing, стр. 211-216. Springer, (2012)Profiling Event Logs to Configure Risk Indicators for Process Delays.A. Pika, W. van der Aalst, C. Fidge, A. ter Hofstede, и M. Wynn. CAiSE, том 7908 из Lecture Notes in Computer Science, стр. 465-481. Springer, (2013)Grounding Process Data Analytics in Domain Knowledge: A Mixed-Method Approach to Identifying Best Practice.M. Wynn, S. Suriadi, R. Eden, E. Poppe, A. Pika, R. Andrews, и A. ter Hofstede. BPM Forum, том 360 из Lecture Notes in Business Information Processing, стр. 163-179. Springer, (2019)Mining Resource Profiles from Event Logs.A. Pika, M. Leyer, M. Wynn, C. Fidge, A. ter Hofstede, и W. van der Aalst. ACM Trans. Manag. Inf. Syst., 8 (1): 1:1-1:30 (2017)Towards Privacy-Preserving Process Mining in Healthcare.A. Pika, M. Wynn, S. Budiono, A. ter Hofstede, W. van der Aalst, и H. Reijers. Business Process Management Workshops, том 362 из Lecture Notes in Business Information Processing, стр. 483-495. Springer, (2019)