Naslov
Discovering Process Model from Incomplete Log using Process Mining

Autori
Zakarija, Ivona ; Škopljanac-Mačina, Frano ; Blašković, Bruno

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of ELMAR-2015 57h International Symposium / Muštra, Mario ; Tralić, Dijana ; Zovko-Cihlar, Branka - Zagreb, 2015, 117-120

ISBN
978-953-184-209-9

Skup
ELMAR-2015 57h International Symposium

Mjesto i datum
Zadar, Hrvatska, 28.09.2015. - 30.09.2015

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Process Mining; Big Data; Event Log; Incomplete Data

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo

POVEZANOST RADA