105 citations · 1.4k across the 94 of their papers we have counts for
14 papers · 1 filter
Discovering More Precise Process Models from Event Logs by Filtering Out Chaotic Activities
Niek Tax, Natalia Sidorova, Wil M. P. van der Aalst
Process Discovery is concerned with the automatic generation of a process model that describes a business process from execution data of that business process. Real life event logs…
Recursion Aware Modeling and Discovery For Hierarchical Software Event Log Analysis (Extended)
Maikel Leemans, Wil M. P. van der Aalst, Mark G. J. van den Brand
This extended paper presents 1) a novel hierarchy and recursion extension to the process tree model; and 2) the first, recursion aware process model discovery technique that levera…
Resource Usage Analysis from a Different Perspective on MOOC Dropout
Remi Brochenin, Joos Buijs, Mehrnoosh Vahdat +1
We present a novel learning analytics approach, for analyzing the usage of resources in MOOCs. Our target stakeholders are the course designers who aim to evaluate their learning m…
Guided Interaction Exploration in Artifact-centric Process Models
Maikel L. van Eck, Natalia Sidorova, Wil M. P. van der Aalst
Artifact-centric process models aim to describe complex processes as a collection of interacting artifacts. Recent development in process mining allow for the discovery of such mod…
Mining Process Model Descriptions of Daily Life through Event Abstraction
Niek Tax, Natalia Sidorova, Reinder Haakma +1
Process mining techniques focus on extracting insight in processes from event logs. Process mining has the potential to provide valuable insights in (un)healthy habits and to contr…
The Imprecisions of Precision Measures in Process Mining
Niek Tax, Xixi Lu, Natalia Sidorova +2
In process mining, precision measures are used to quantify how much a process model overapproximates the behavior seen in an event log. Although several measures have been proposed…
Generating Time-Based Label Refinements to Discover More Precise Process Models
Niek Tax, Emin Alasgarov, Natalia Sidorova +2
Process mining is a research field focused on the analysis of event data with the aim of extracting insights related to dynamic behavior. Applying process mining techniques on data…
Event Stream-Based Process Discovery using Abstract Representations
Sebastiaan J. van Zelst, Boudewijn F. van Dongen, Wil M. P. van der Aalst
The aim of process discovery, originating from the area of process mining, is to discover a process model based on business process execution data. A majority of process discovery…
Blockchains for Business Process Management - Challenges and Opportunities
Jan Mendling, Ingo Weber, Wil van der Aalst +29
Blockchain technology promises a sizable potential for executing inter-organizational business processes without requiring a central party serving as a single point of trust (and f…
Interest-Driven Discovery of Local Process Models
Niek Tax, Benjamin Dalmas, Natalia Sidorova +2
Local Process Models (LPM) describe structured fragments of process behavior occurring in the context of less structured business processes. Traditional LPM discovery aims to gener…
Discovering Relaxed Sound Workflow Nets using Integer Linear Programming
S. J. van Zelst, B. F. van Dongen, W. M. P. van der Aalst +1
Process mining is concerned with the analysis, understanding and improvement of business processes. Process discovery, i.e. discovering a process model based on an event log, is co…
Object-Centric Behavioral Constraints
Wil M. P. van der Aalst, Guangming Li, Marco Montali
Today's process modeling languages often force the analyst or modeler to straightjacket real-life processes into simplistic or incomplete models that fail to capture the essential…
RapidProM: Mine Your Processes and Not Just Your Data
Wil M. P. van der Aalst, Alfredo Bolt, Sebastiaan J. van Zelst
The number of events recorded for operational processes is growing every year. This applies to all domains: from health care and e-government to production and maintenance. Event d…
Learning Hybrid Process Models From Events: Process Discovery Without Faking Confidence
Wil M. P. van der Aalst, Riccardo De Masellis, Chiara Di Francescomarino +1
Process discovery techniques return process models that are either formal (precisely describing the possible behaviors) or informal (merely a "picture" not allowing for any form of…