Titlebook: Business Process Management Workshops; BPM 2016 Internation Marlon Dumas,Marcelo Fantinato Conference proceedings 2017 Springer Internation

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SLUMP

A Framework for Interactive Multidimensional Process Mining split the event log into a set of homogenous sublogs according to its case and event attributes. Process mining techniques are used to create an individual process model for each sublog representing variants of the process. These models can be compared to identify the differences between the varian

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ESO

Multi-objective Trace Clustering: Finding More Balanced Solutionsg their solution based on a certain type of similarity between the traces, such as the number of insertions and deletions needed to transform one trace into another; by mapping the traces onto a vector space model, based on certain patterns in each trace; or on the quality of a process model discove

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Simulation of Multi-perspective Declarative Process Modelsge. Process mining techniques can be used to automate the discovery of process models. One way to evaluate process mining techniques is to synthesize event logs from a source model via simulation techniques and to compare the discovered model with the source model. Though there are several declarati

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放縱

PROMPTUM Toolset: Tool Support for Integrated Ontologies and Process Modelsaging the relationships between ontologies and business process models provide benefits such as enhanced semantic quality of both artifacts and effort savings. In this study, the PROMPTUM toolset, that enables to model relations between the ontologies and the labels within the process model collecti

Obstreperous

Ontology-Based Heuristics for Process Behavior: Formalizing False Positive Scenarioshe latter are based on heuristics. The main advantage of informal methods with respect to the formal ones is their short run-time. However, heuristics may lead to false positives, i.e. they may detect errors in a process model even though such model is correct. In this work, we propose using ontolog

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