Marlon Dumas

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University of Tartu

Professor of Information Systems at University of Tartu

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

Process mining techniques enable organizations to analyze business proce...
12/02/2020 ∙ by Gamal Elkoumy, et al. ∙ 0 ∙ share

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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...
09/08/2020 ∙ by Manuel Camargo, et al. ∙ 9 ∙ share

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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...
09/03/2020 ∙ by Zahra Dasht Bozorgi, et al. ∙ 9 ∙ share

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Detecting sudden and gradual drifts in business processes from execution traces

Business processes are prone to unexpected changes, as process workers m...
05/07/2020 ∙ by Abderrahmane Maaradji, et al. ∙ 3 ∙ share

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Discovering Business Process Simulation Models in the Presence of Multitasking

Business process simulation is a versatile technique for analyzing busin...
04/20/2020 ∙ by Bedilia Estrada-Torres, et al. ∙ 0 ∙ share

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Automated Discovery of Data Transformations for Robotic Process Automation

Robotic Process Automation (RPA) is a technology for automating repetiti...
01/03/2020 ∙ by Volodymyr Leno, et al. ∙ 14 ∙ share

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Secure Multi-Party Computation for Inter-Organizational Process Mining

Process mining is a family of techniques for analysing business processe...
12/04/2019 ∙ by Gamal Elkoumy, et al. ∙ 0 ∙ share

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Business Process Variant Analysis: Survey and Classification

Process variant analysis aims at identifying and addressing the differen...
11/18/2019 ∙ by Farbod Taymouri, et al. ∙ 0 ∙ share

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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...
10/22/2019 ∙ by Daniel Reißner, et al. ∙ 0 ∙ share

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Automated Discovery of Business Process Simulation Models from Event Logs

Simulation is a versatile technique for quantitative analysis of busines...
10/11/2019 ∙ by Manuel Camargo, et al. ∙ 0 ∙ share

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Interpreted Execution of Business Process Models on Blockchain

Blockchain technology provides a tamper-proof mechanism to execute inter...
06/04/2019 ∙ by Orlenys López-Pintado, et al. ∙ 0 ∙ share

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

Predictive process monitoring is a family of techniques to analyze event...
05/23/2019 ∙ by Stephan A. Fahrenkrog-Petersen, et al. ∙ 0 ∙ share

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Business Process Privacy Analysis in Pleak

Pleak is a tool to capture and analyze privacy-enhanced business process...
02/13/2019 ∙ by Aivo Toots, et al. ∙ 0 ∙ share

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Dynamic Role Binding in Blockchain-Based Collaborative Business Processes

Blockchain technology enables the execution of collaborative business pr...
12/07/2018 ∙ by Orlenys López-Pintado, et al. ∙ 0 ∙ share

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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...
07/31/2018 ∙ by Diego Calvanese, et al. ∙ 8 ∙ share

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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...
07/31/2018 ∙ by Diego Calvanese, et al. ∙ 4 ∙ share

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CATERPILLAR: A Business Process Execution Engine on the Ethereum Blockchain

Blockchain platforms, such as Ethereum, allow a set of actors to maintai...
07/10/2018 ∙ by Orlenys López-Pintado, et al. ∙ 0 ∙ share

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

Predictive business process monitoring methods exploit historical proces...
05/08/2018 ∙ by Ilya Verenich, et al. ∙ 2 ∙ share

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Discovering Process Maps from Event Streams

Automated process discovery is a class of process mining methods that al...
04/08/2018 ∙ by Volodymyr Leno, et al. ∙ 0 ∙ share

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Foundations of Prescriptive Process Monitoring

Predictive process monitoring is concerned with the analysis of events p...
03/23/2018 ∙ by Irene Teinemaa, et al. ∙ 0 ∙ share

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Temporal Stability in Predictive Process Monitoring

Predictive business process monitoring is concerned with the analysis of...
12/12/2017 ∙ by Irene Teinemaa, et al. ∙ 0 ∙ share

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Mining Non-Redundant Sets of Generalizing Patterns from Sequence Databases

Sequential pattern mining techniques extract patterns corresponding to f...
12/12/2017 ∙ by Niek Tax, et al. ∙ 0 ∙ share

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Outcome-Oriented Predictive Process Monitoring: Review and Benchmark

Predictive business process monitoring refers to the act of making predi...
07/21/2017 ∙ by Irene Teinemaa, et al. ∙ 0 ∙ share

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Predictive Business Process Monitoring with LSTM Neural Networks

Predictive business process monitoring methods exploit logs of completed...
12/07/2016 ∙ by Niek Tax, et al. ∙ 0 ∙ share

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Marlon Dumas

Featured Co-authors

Diego Calvanese

Marco Montali

Niek Tax

Marcello La Rosa

Ingo Weber

Fabrizio Maria Maggi

Massimiliano de Leoni

Irene Teinemaa

Artem Polyvyanyy

Luciano Garcia-Banuelos

Matthias Weidlich

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

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

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

Detecting sudden and gradual drifts in business processes from execution traces

Discovering Business Process Simulation Models in the Presence of Multitasking

Automated Discovery of Data Transformations for Robotic Process Automation

Secure Multi-Party Computation for Inter-Organizational Process Mining

Business Process Variant Analysis: Survey and Classification

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

Automated Discovery of Business Process Simulation Models from Event Logs

Interpreted Execution of Business Process Models on Blockchain

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

Business Process Privacy Analysis in Pleak

Dynamic Role Binding in Blockchain-Based Collaborative Business Processes

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

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

CATERPILLAR: A Business Process Execution Engine on the Ethereum Blockchain

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

Discovering Process Maps from Event Streams

Foundations of Prescriptive Process Monitoring

Temporal Stability in Predictive Process Monitoring

Mining Non-Redundant Sets of Generalizing Patterns from Sequence Databases

Outcome-Oriented Predictive Process Monitoring: Review and Benchmark

Predictive Business Process Monitoring with LSTM Neural Networks