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BPMN Miner: Automated discovery of BPMN process models with hierarchical structure

Raffaele Conforti, Marlon Dumas, Luciano García‐Bañuelos, Marcello La Rosa

2015-07-18articleInformation Systems92 citationsclosed

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Business Process Modeling and Analysis Model-Driven Software Engineering Techniques Data Mining Algorithms and Applications

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 92 citations exist upstream.

References

2004Workflow mining: discovering process models from event logs

2011Process Mining: Discovery, Conformance and Enhancement of Business Processes

2008Semantics and analysis of business process models in BPMN

2013Discovering Block-Structured Process Models from Event Logs - A Constructive Approach

2011Flexible Heuristics Miner (FHM)

2011Conformance Checking Using Cost-Based Fitness Analysis

2008Process Discovery Using Integer Linear Programming

2007What Makes Process Models Understandable?

Cited by

2018Split Miner: Automated Discovery of Accurate and Simple Business Process Models from Event Logs

2018The imprecisions of precision measures in process mining

2018Automated discovery of structured process models from event logs: The discover-and-structure approach

2018How Much Event Data Is Enough? A Statistical Framework for Process Discovery

2016Component behavior discovery from software execution data

2018Recursion aware modeling and discovery for hierarchical software event log analysis

2017Characterizing Drift from Event Streams of Business Processes

2017Mining Process Model Descriptions of Daily Life Through Event Abstraction

Details

Year2015

Typearticle

VenueInformation Systems

Languageen

Files0 public / 0

Identifiers

doi10.1016/j.is.2015.07.004

openalex_workW1576354363

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