Discovering Process Model from Incomplete Log using Process Mining (CROSBI ID 625867)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Zakarija, Ivona ; Škopljanac-Mačina, Frano ; Blašković, Bruno
engleski
Discovering Process Model from Incomplete Log using Process Mining
This paper gives an overview of relevant research in the area of process mining. Process mining techniques are able to extract knowledge from event logs. The major objective of process mining is to discover, monitor and improve real processes. Process mining aims to exploit event data in a meaningful way to identify and anticipate problems, and recommend countermeasures. Additionally, process mining places the existing massive volumes of data in the context of processes. Since extracting data is an integral part of any process mining procedure, data preparation or data pre- processing requires certain efforts. Examples have been given to indicate how the chosen process mining technique deals with incompleteness in the event log data. Experiments have been made on the real data collected from information system for accommodation services.
Process Mining; Big Data; Event Log; Incomplete Data
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
117-120.
2015.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of ELMAR-2015 57h International Symposium
Muštra, Mario ; Tralić, Dijana ; Zovko-Cihlar, Branka
Zagreb:
978-953-184-209-9
1334-2630
Podaci o skupu
ELMAR-2015 57h International Symposium
predavanje
28.09.2015-30.09.2015
Zadar, Hrvatska