Procedura za ugrađivanje dodatnih modula u alate za dubinsku analizu poslovnih procesa

undergraduate thesis

• Title (english): Procedures for Embedding Modules in Process Mining Tools
• Author: Dino Božić
• Mentor: Bruno Blašković (mentor)
• Committee member: Bruno Blašković (predsjednik povjerenstva)
• Committee member: Mirko Randić (član povjerenstva)
• Committee member: Frano Škopljanac-Mačina (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2018-07-13, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Dubinska analiza poslovnih procesa jest istraživačka disciplina koja se bavi analizom poslovnih procesa zapisanih u obliku zapisnika događaja. U domenu poslovnih procesa uglavnom ulazi korisničko ponašanje na internetu te se na temelju tog ponašanja kreiraju predviđeni obrasci interesa navedenih korisnika. Jedan od poznatih alata koji odrađuju dubinsku analizu poslovnih procesa jest ProM, u koji je u ovom radu bilo potrebno ugraditi modul koji bi predstavljao dodatni algoritam analize poslovnih procesa. Uspješno su ugrađena dva modula, jedan koji predstavlja pojednostavljivanje polaznog dokumenta sa zapisnikom događaja te jedan koji provodi algoritam vizualizacije poslovnih procesa. U ProM-u, ugrađivanjem modula možemo kreirati vlastitu strukturu obrađivanja poslovnih procesa, međutim ne možemo direktno povezati ugrađene module sa interno implementiranim algoritmima analize poslovnih procesa. Kompletna implementacija ProM-a izvedena je u programskom jeziku Java u razvojnom okruženju Eclipse.

Abstract (english)

Process mining is a young research discipline that supports the analysis of business processes based on event logs. The business process domain usually consists of behaviour of individual user on the internet. Then, the behaviour patterns and user interest prediction is generated from the analyzed data. This paper is an analysis of embedding modules in process mining tools. Tool that is used in this research is ProM. There were two successful implementations of the module in the context of ProM - One for simplyfing the input file of the analysis,which is consisted from event logs, and one that represents visualisation of the business processes, specially generated process mining algorithm. The conclusion that has been drawn from the research is that we can construct process mining analysis structures by adding plugins to ProM, but can't connect those structures directly to internal implemented process mining algorithms because of the lack of process mining classes availabilty. Implementation both of ProM and ProM plugins has been done in Java, with Eclipse being a development environment.

• Keywords: ProM; analiza; procesi; događaji; moduli; algoritam
• Keywords (english): ProM; analysis; process; mining; events; module; algorithm
• Language: croatian
• URN:NBN: urn:nbn:hr:168:207036
• Study programme: Title: Computing; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2019-03-13 19:15:18