Program

MONDAY (Research Day 1)

09:00-10:30 OPENING & KEYNOTE

11:00-12:30 DATA PRE-PROCESSING (Session Chair: Massimiliano de Leoni)

  • Stephan A. Fahrenkrog-Petersen, Han van der Aa and Matthias Weidlich, PRETSA: Event Log Sanitization for Privacy-aware Process Discovery
  • Sim Sunghyun, Bae Hyerim and Choi Yulim, Likelihood-based Multiple Imputation by Event Chain Methodology for Repair of Imperfect Event Logs with Missing Data
  • Pieter De Koninck and Jochen De Weerdt, Scalable Mixed-Paradigm Trace Clustering using Super-Instances

13:30-15:00 AUTOMATED PROCESS DISCOVERY (Session Chair: Dirk Fahland)

  • Sander J.J. Leemans, Erik Poppe and Moe T. Wynn, Directly Follows-Based Process Mining: Exploration & a Case Study
  • Roee ShragaAvigdor Gal, Dafna Schumacher, Arik Senderovich and Matthias Weidlich, Inductive Context-aware Process Discovery
  • Robin Bergenthum, Prime Miner – Process Discovery using Prime Event Structures

15:30-17:00 PROCESS MINING APPLICATIONS (Session Chair: Artem Polyvyanyy)

  • Felix Mannhardt, Petter Arnesen and Andreas Dypvik Landmark, Estimating the Impact of Incidents on Process Delay
  • Souad Ramadan, Halim Ibrahim Baqapuri, Erik Roecher and Klaus Mathiak, Process mining of logged gaming behavior during functional magnetic resonance imaging
  • João CaldeiraFernando Brito E AbreuJosé Reis and Jorge Cardoso, Assessing Software Development Teams’ Efficiency using Process Mining

17:15-18:15 INVITED TUTORIAL (Session Chair: Moe Wynn)


TUESDAY (ICPM Industry Day)

09:00-10:30 Session Chair: Wil van der Aalst

  • 09:00-09:10 Opening by Wil van der Aalst (RWTH / Fraunhofer)
  • 09:10-09:30 Process Mining in the Era of the Digital Twin of an Organization by Marc Kerremans (Gartner)
  • 09:30-10:00 Process Mining at Scale – the plea for a technical Process Mining reference model by Julian Lebherz (Deloitte)
  • 10:00-10:30 How to add Process Mining to the Auditor’s toolbox by Marc Gittler and Patrick Greifzu (DHL)

10:30-11:00  Coffee Break

11:00-12:30 Session Chair: Marc Kerremans

  • 11:00-11:30 Credem Digital Transformation with DTO and Process Mining by Piergiorgio Grossi (Credem Banca)
  • 11:30-12:00 Entrepreneurial behavior in a DAX company. Can Process Mining be established bottom up only? by Carsten Schöne (Merck)
  • 12:00-12:30 (Session Chair: Bas van Zelst) Tool demo teasers

12:30-13:30  Lunch Break + Market

13:30-15:00 Session Chair: Marc Kerremans

  • 13:30-14:00 Opportunities and challenges applying Process Mining in financial audits by Sven Hayn and Michael Wiese (Ernst & Young)
  • 14:00-14:30 Process Mining at Medtronic – Our success formula to enable business value by Bart Prudon (Medtronic)
  • 14:30:15:00 Practical implementation of Process Mining at Large North American Financial Services enterprises by David Whyte (Canadian Financial Services)

15:00-15:30  Coffee Break

15:30-17:15 Session Chair: Wil van der Aalst

  • 15:30-16:00 Unlocking Digital Transformation – the Human Touch by Gia-Thi Nguyen (Siemens)
  • 16:00-16:30 Process Wind Tunnel for Improving Business Processes Sudhendu Rai (AIG Investments)
  • 16:30-17:15 Panel on the future of process mining composed of sponsors and speakers, moderated by Marc Kerremans and Wil van der Aalst

Break

17:15-18:00 Get Together

After Party (organized by Celonis)


WEDNESDAY (Research Day 2)

09:00-10:30 CONFORMANCE CHECKING (Session Chair: Benoît Depaire)

  • Alifah Syamsiyah and Boudewijn F. van Dongen, Improving Alignment Computation using Model-based Preprocessing
  • Artem Polyvyanyy and Anna Kalenkova, Monotone Conformance Checking for Partially Matching Designed and Observed Processes
  • Marco Pegoraro and Wil van der Aalst, Mining Uncertain Event Data in Process Mining

11:00-12:30 PANEL: EMERGING APPLICATIONS OF PROCESS MINING (Session Chair: Marcello La Rosa)

13:30-15:00 DATA ANALYSIS & MONITORING (Session Chair: Andrea Burattin)

  • Bram Knols and Jan Martijn van der Werf, Measuring Log Sampling Quality
  • Pavlos Delias, Mehdi Acheli and Daniela Grigori, Applying the Method of Reflections through an Event Log for Evidence-based Process Innovation
  • Patrik Koenig, Juergen Mangler and Stefanie Rinderle-Ma, Compliance Monitoring on Process Event Streams from Multiple Sources

15:30-17:00 PREDICTIVE MONITORING (Session Chair: Boudewijn van Dongen)

  • Gyunam Park and Minseok Song, Prediction-based Resource Allocation using LSTM and maximum flow and minimum cost algorithm
  • Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano and Donato Malerba, Using Convolution Neural Networks for Predictive Process Analytics
  • Vadim Denisov, Dirk Fahland and Wil M.P. van der Aalst, Predictive Performance Monitoring of Material Handling Systems Using the Performance Spectrum

17:15-18:15 TOOL DEMO FAIR

The following papers are accepted as a demo on the Demo track of ICPM 2019 (alphabetically ordered on first name of first author):

Authors Title
Alessandro Berti, Sebastiaan van Zelst and Wil van der Aalst Process Mining for Python (PM4Py): Bridging the Gap Between Process- and Data Science
Alexander Seeliger, Maximilian Ratzke, Timo Nolle and Max Mühlhäuser ProcessExplorer: Interactive Visual Exploration of Event Logs with Analysis Guidance
David Baumgartner, Andreas Haghofer, Martin Limberger and Emmanuel Helm Process Pruner: A Tool for Sequence-Based Event Log Preprocessing
Eric Verbeek Log Skeleton Filter and Browser
Janna Meyer, Josua Reimold and Constantin Wehmschulte An Introduction to MPM – MEHRWERK ProcessMining
Peyman Badakhshan, German Bernhart, Jerome Geyer-Klingeberg, Janina Nakladal, Steffen Schenk and Thomas Vogelgesang The Action Engine – Turning Process Insights into Action
Roeland Scheepens and Erik-Jan van der Linden ProcessGold: Enterprise Process Mining
Sander J.J. Leemans, Erik Poppe and Moe Wynn Directly Follows-Based Process Mining: a Tool

18:30-20:00 IEEE TFPM


ICPM 2019 Accepted Papers for ICPM2019 – Main Track

  • Artem Polyvyanyy and Anna Kalenkova. Monotone Conformance Checking for Partially Matching Designed and Observed Processes
  • Sim Sunghyun, Bae Hyerim and Choi Yulim. Likelihood-based Multiple Imputation by Event Chain Methodology for Repair of Imperfect Event Logs with Missing Data
  • Sander J.J. Leemans, Erik Poppe and Moe T. Wynn. Directly Follows-Based Process Mining: Exploration & a Case Study
  • Pavlos Delias, Mehdi Acheli and Daniela Grigori. Applying the Method of Reflections through an Event Log for Evidence-based Process Innovation
  • Stephan A. Fahrenkrog-Petersen, Han van der Aa and Matthias Weidlich. PRETSA: Event Log Sanitization for Privacy-aware Process Discovery
  • Pieter De Koninck and Jochen De Weerdt. Scalable Mixed-Paradigm Trace Clustering using Super-Instances
  • Alifah Syamsiyah and Boudewijn F. van Dongen. Improving Alignment Computation using Model-based Preprocessing
  • Gyunam Park and Minseok Song. Prediction-based Resource Allocation using LSTM and maximum flow and minimum cost algorithm
  • Roee Shraga, Avigdor Gal, Dafna Schumacher, Arik Senderovich and Matthias Weidlich. Inductive Context-aware Process Discovery
  • Robin Bergenthum. Prime Miner – Process Discovery using Prime Event Structures
  • Bram Knols and Jan Martijn van der Werf. Measuring Log Sampling Quality
  • Vadim Denisov, Dirk Fahland and Wil M.P. van der Aalst. Predictive Performance Monitoring of Material Handling Systems Using the Performance Spectrum
  • Felix Mannhardt, Petter Arnesen and Andreas Dypvik Landmark. Estimating the Impact of Incidents on Process Delay
  • Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano and Donato Malerba. Using Convolution Neural Networks for Predictive Process Analytics
  • Marco Pegoraro and Wil van der Aalst. Mining Uncertain Event Data in Process Mining
  • Souad Ramadan, Halim Ibrahim Baqapuri, Erik Roecher and Klaus Mathiak. Process mining of logged gaming behavior during functional magnetic resonance imaging
  • Patrik Koenig, Juergen Mangler and Stefanie Rinderle-Ma. Compliance Monitoring on Process Event Streams from Multiple Sources
  • João Caldeira, Fernando Brito E Abreu, José Reis and Jorge Cardoso. Assessing Development Teams’ Efficiency with Software Development Process Mining