Otkrivanje poslovnih procesa za provjeru sukladnosti

master's thesis

• Title (english): Process Discovery for Conformance Checking
• Author: Filip Ostojić
• Mentor: Bruno Blašković (mentor)
• Committee member: Bruno Blašković (predsjednik povjerenstva)
• Committee member: Mirko Randić (član povjerenstva)
• Committee member: Petar Knežević (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2021-07-07, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Količine podataka o događajima u eksponecionalnom su porastu što dovodi do razvitka dubinske analize procesa - tehnike dizajnirane za otkrivanje, praćenje i poboljšavanje stvarnih procesa. Prva faza dubinske analize procesa je otkrivanje modela procesa koja na ulaz prima dnevnik događaja, a na izlaz daje model procesa. U Radu je provedeno otkrivanje procesa iz dnevnika događaja u CSV i XES formatu, i priprema za provjeru skuladnosti, koristeći tri algoritma: Alpha Miner, Heuristics Miner i Inductive Miner. Napravljena je vizualizacija modela koristeći Petrijeve mreže, heurističke mreže, procesna stabla i BPMN prikaz. Također, provedena je i usporedba dobivenih modela koristeći izračun fitnessa, preciznosti, generalizacije, jednostavnosti te najvažnije - zvučnosti modela.

Abstract (english)

The amount of event data is increasing exponentially leading to the development of process mining - a technique designed to detect, monitor, and improve real processes. The first phase of process mining is the discovery of a process model that receives an event log as the input and generates the process model as the output. This Thesis shows process discovery from event logs in CSV and XES format, and preparation for conformance checking, using three algorithms: Alpha Miner, Heuristics Miner, and Inductive Miner. A visualization of the model was made using Petri nets, heuristic networks, process trees, and BPMN notation. Also, a comparison of the obtained models was performed, using the calculation of fitness, precision, generalization, simplicity, and most importantly - the soundness of the model.

• Keywords: Dubinska analiza procesa; otkrivanje modela; provjera skuladnosti; PM4Py; poslovni procesi
• Keywords (english): Process mining; process discovery; conformance check; PM4Py; business process
• Language: croatian
• URN:NBN: urn:nbn:hr:168:000278
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-13 13:23:15