Quotation Di Ciccio, Claudio. 2018. Data Science × Business Process Management = Process Mining. 16. PQM Dialog (“Process Mining – Reale Prozesse im Fokus”), Kufstein, 09.11.18


RIS


BibTeX

Abstract

A business process is the collection of activities, resources, decisions, and strategies aiming at the achievement of an outcome that is of value to the business goal. Process mining is the set of techniques that permit to automatically discover, analyse, and improve business process models on the basis of recorded data, stored in the form of event logs. Event logs contain textual representations of temporarily ordered events that report on the execution of the process. In this talk, the basic concepts of process mining are exposed, along with the fundamental algorithms used. In light of those notions, the recent advancements in the process mining research areas and the open challenges in the field are discussed.

Tags

Press 'enter' for creating the tag

Publication's profile

Status of publication Published
Affiliation WU
Type of publication Unpublished lecture
Language English
Title Data Science × Business Process Management = Process Mining
Event 16. PQM Dialog (“Process Mining – Reale Prozesse im Fokus”)
Location Kufstein
Event country Austria
Date Nov. 9, 2018
URL https://www.fh-kufstein.ac.at/News/Process-Mining-Reale-Prozesse-im-Fokus

Associations

People
Di Ciccio, Claudio (Details)
Organization
Applied Information Technology with Focus on IT in Organization (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1105 Computer software (Details)
1108 Informatics (Details)
1109 Information and data processing (Details)
1122 Artificial intelligence (Details)
5306 Business data processing (Details)
5367 Management information systems (Details)
Google Scholar: Search