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@inproceedings{32004, author = {Dolák, Radim and Janáková, Milena and Botlík, Josef}, address = {Sevilla}, booktitle = {Proceedings of the 8th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2018)}, keywords = {process mining; events log; operating system; windows}, howpublished = {elektronická verze "online"}, language = {eng}, location = {Sevilla}, isbn = {"Neuveden"}, pages = {73-77}, publisher = {CEUR-WS.org}, title = {Process mining of events log from Windows}, url = {http://ceur-ws.org/Vol-2270/}, year = {2018} }
TY - JOUR ID - 32004 AU - Dolák, Radim - Janáková, Milena - Botlík, Josef PY - 2018 TI - Process mining of events log from Windows PB - CEUR-WS.org CY - Sevilla SN - "Neuveden" KW - process mining KW - events log KW - operating system KW - windows UR - http://ceur-ws.org/Vol-2270/ N2 - We can use process mining also for analyzing events log from windows operating systems. The event is characterized by Microsoft as a record of a computer's alerts and notifications. Every recorded event has any significant occurrence in the system or in a program that requires being notified. Process mining should be used for troubleshooting of some windows system errors that are stored in the mentioned events log. The case study deals with using Disco software tool for process mining of events log from windows 10 operating system. There will be mentioned some steps of this case study such as acquisition, preparing, importing and process mining of data from Windows 10 events log. ER -
DOLÁK, Radim, Milena JANÁKOVÁ and Josef BOTLÍK. Process mining of events log from Windows. Online. In \textit{Proceedings of the 8th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2018)}. Sevilla: CEUR-WS.org, 2018, p.~73-77. ISBN~''Neuveden''.
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