Composite state machine miner: Discovering and exploring multi-perspective processes

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Abstract

Process mining provides fact-based insights into processes based on behaviour captured in event data. An important aspect of this is the discovery of process models from such data. Traditionally, the focus of process discovery is on learning the ordering of activities. We deviate from this dominating activity view on processes to focus on states and state changes. Specifically, we aim to discover state-based models for processes where different facets, or perspectives, of the process can be identified. In this paper we describe an interactive process discovery tool that can be used to discover and explore state-based models for such multi-perspective processes: the Composite State Machine Miner. It quantifies and visualises the interactions between perspectives to provide additional process insights. This tool has been used to analyse the BPI Challenge 2012 data of a loan application process and product user behaviour data gathered by Philips during the development of a smart baby bottle equipped with various sensors.

Original languageEnglish
Title of host publicationProceedings of the BPM Demo Track 2016
EditorsL. Azevedo, C. Cabanillas
PublisherCEUR-WS.org
Pages73-77
Number of pages5
Publication statusPublished - 2016
Event2016 BPM Demo Track, BPMD 2016, co-located with the 14th International Conference on Business Process Management, BPM 2016 - Rio de Janeiro, Brazil
Duration: 21 Sep 2016 → …

Publication series

NameCEUR Workshop Proceedings
Volume1789
ISSN (Print)1613-0073

Conference

Conference2016 BPM Demo Track, BPMD 2016, co-located with the 14th International Conference on Business Process Management, BPM 2016
CountryBrazil
CityRio de Janeiro
Period21/09/16 → …

Keywords

  • Interactive process exploration
  • Multi-perspective processes
  • Process discovery
  • State-based models

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