b'Marlon Dumas'

research

∙ 12/07/2022

Intervening With Confidence: Conformal Prescriptive Monitoring of Business Processes

Prescriptive process monitoring methods seek to improve the performance ...

Mahmoud Shoush, et al. ∙

research

∙ 12/02/2022

Why am I Waiting? Data-Driven Analysis of Waiting Times in Business Processes

Waiting times in a business process often arise when a case transitions ...

Katsiaryna Lashkevich, et al. ∙

research

∙ 08/24/2022

Repairing Activity Start Times to Improve Business Process Simulation

Business Process Simulation (BPS) is a common technique to estimate the ...

David Chapela-Campa, et al. ∙

research

∙ 08/16/2022

Business Process Simulation with Differentiated Resources: Does it Make a Difference?

Business process simulation is a versatile technique to predict the impa...

Orlenys López-Pintado, et al. ∙

research

∙ 06/28/2022

Modeling Extraneous Activity Delays in Business Process Simulation

Business Process Simulation (BPS) is a common approach to estimate the i...

David Chapela-Campa, et al. ∙

research

∙ 06/27/2022

Libra: High-Utility Anonymization of Event Logs for Process Mining via Subsampling

Process mining techniques enable analysts to identify and assess process...

Gamal Elkoumy, et al. ∙

research

∙ 06/15/2022

When to intervene? Prescriptive Process Monitoring Under Uncertainty and Resource Constraints

Prescriptive process monitoring approaches leverage historical data to p...

Mahmoud Shoush, et al. ∙

research

∙ 01/30/2022

Augmented Business Process Management Systems: A Research Manifesto

Augmented Business Process Management Systems (ABPMSs) are an emerging c...

Marlon Dumas, et al. ∙

research

∙ 01/09/2022

Differentially Private Release of Event Logs for Process Mining

The applicability of process mining techniques hinges on the availabilit...

Gamal Elkoumy, et al. ∙

research

∙ 12/08/2021

Efficient Checking of Temporal Compliance Rules Over Business Process Event Logs

Verifying temporal compliance rules, such as a rule stating that an inqu...

Adriano Augusto, et al. ∙

research

∙ 12/03/2021

Prescriptive Process Monitoring: Quo Vadis?

Prescriptive process monitoring methods seek to optimize a business proc...

Kateryna Kubrak, et al. ∙

research

∙ 09/07/2021

Prescriptive Process Monitoring Under Resource Constraints: A Causal Inference Approach

Prescriptive process monitoring is a family of techniques to optimize th...

Mahmoud Shoush, et al. ∙

research

∙ 06/25/2021

Discovering executable routine specifications from user interaction logs

Robotic Process Automation (RPA) is a technology to automate routine wor...

Volodymyr Leno, et al. ∙

research

∙ 05/15/2021

Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction

Reducing cycle time is a recurrent concern in the field of business proc...

Zahra Dasht Bozorgi, et al. ∙

research

∙ 05/13/2021

Automated Discovery of Process Models with True Concurrency and Inclusive Choices

Enterprise information systems allow companies to maintain detailed reco...

Adriano Augusto, et al. ∙

research

∙ 03/22/2021

Learning Accurate Business Process Simulation Models from Event Logs via Automated Process Discovery and Deep Learning

Business process simulation is a well-known approach to estimate the imp...

Manuel Camargo, et al. ∙

research

∙ 03/22/2021

Mine Me but Don't Single Me Out: Differentially Private Event Logs for Process Mining

The applicability of process mining techniques hinges on the availabilit...

Gamal Elkoumy, et al. ∙

research

∙ 12/02/2020

Privacy-Preserving Directly-Follows Graphs: Balancing Risk and Utility in Process Mining

Process mining techniques enable organizations to analyze business proce...

Gamal Elkoumy, et al. ∙

research

∙ 09/08/2020

Discovering Generative Models from Event Logs: Data-driven Simulation vs Deep Learning

A generative model is a statistical model that is able to generate new d...

Manuel Camargo, et al. ∙

research

∙ 09/03/2020

Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs

This paper proposes an approach to analyze an event log of a business pr...

Zahra Dasht Bozorgi, et al. ∙

research

∙ 05/07/2020

Detecting sudden and gradual drifts in business processes from execution traces

Business processes are prone to unexpected changes, as process workers m...

Abderrahmane Maaradji, et al. ∙

research

∙ 04/20/2020

Discovering Business Process Simulation Models in the Presence of Multitasking

Business process simulation is a versatile technique for analyzing busin...

Bedilia Estrada-Torres, et al. ∙

research

∙ 01/03/2020

Automated Discovery of Data Transformations for Robotic Process Automation

Robotic Process Automation (RPA) is a technology for automating repetiti...

Volodymyr Leno, et al. ∙

research

∙ 12/04/2019

Secure Multi-Party Computation for Inter-Organizational Process Mining

Process mining is a family of techniques for analysing business processe...

Gamal Elkoumy, et al. ∙

research

∙ 11/18/2019

Business Process Variant Analysis: Survey and Classification

Process variant analysis aims at identifying and addressing the differen...

Farbod Taymouri, et al. ∙

research

∙ 10/22/2019

Scalable Alignment of Process Models and Event Logs: An Approach Based on Automata and S-Components

Given a model of the expected behavior of a business process and an even...

Daniel Reißner, et al. ∙

research

∙ 10/11/2019

Automated Discovery of Business Process Simulation Models from Event Logs

Simulation is a versatile technique for quantitative analysis of busines...

Manuel Camargo, et al. ∙

research

∙ 06/04/2019

Interpreted Execution of Business Process Models on Blockchain

Blockchain technology provides a tamper-proof mechanism to execute inter...

Orlenys López-Pintado, et al. ∙

research

∙ 05/23/2019

Fire Now, Fire Later: Alarm-Based Systems for Prescriptive Process Monitoring

Predictive process monitoring is a family of techniques to analyze event...

Stephan A. Fahrenkrog-Petersen, et al. ∙

research

∙ 02/13/2019

Business Process Privacy Analysis in Pleak

Pleak is a tool to capture and analyze privacy-enhanced business process...

Aivo Toots, et al. ∙

research

∙ 12/07/2018

Dynamic Role Binding in Blockchain-Based Collaborative Business Processes

Blockchain technology enables the execution of collaborative business pr...

Orlenys López-Pintado, et al. ∙

research

∙ 07/31/2018

Semantic DMN: Formalizing and Reasoning About Decisions in the Presence of Background Knowledge

The Decision Model and Notation (DMN) is a recent OMG standard for the e...

Diego Calvanese, et al. ∙

research

∙ 07/31/2018

Semantic DMN: Formalizing and Reasoning About Decisions in the Presence of Background Knowledg

The Decision Model and Notation (DMN) is a recent OMG standard for the e...

Diego Calvanese, et al. ∙

research

∙ 07/10/2018

CATERPILLAR: A Business Process Execution Engine on the Ethereum Blockchain

Blockchain platforms, such as Ethereum, allow a set of actors to maintai...

Orlenys López-Pintado, et al. ∙

research

∙ 05/08/2018

Survey and cross-benchmark comparison of remaining time prediction methods in business process monitoring

Predictive business process monitoring methods exploit historical proces...

Ilya Verenich, et al. ∙

research

∙ 04/08/2018

Discovering Process Maps from Event Streams

Automated process discovery is a class of process mining methods that al...

Volodymyr Leno, et al. ∙

research

∙ 03/23/2018

Foundations of Prescriptive Process Monitoring

Predictive process monitoring is concerned with the analysis of events p...

Irene Teinemaa, et al. ∙

research

∙ 12/12/2017

Temporal Stability in Predictive Process Monitoring

Predictive business process monitoring is concerned with the analysis of...

Irene Teinemaa, et al. ∙

research

∙ 12/12/2017

Mining Non-Redundant Sets of Generalizing Patterns from Sequence Databases

Sequential pattern mining techniques extract patterns corresponding to f...

Niek Tax, et al. ∙

research

∙ 07/21/2017

Outcome-Oriented Predictive Process Monitoring: Review and Benchmark

Predictive business process monitoring refers to the act of making predi...

Irene Teinemaa, et al. ∙

research

∙ 12/07/2016

Predictive Business Process Monitoring with LSTM Neural Networks

Predictive business process monitoring methods exploit logs of completed...

Niek Tax, et al. ∙

Marlon Dumas

Featured Co-authors