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ORCID1st ICPM 2019: Aachen, Germany
- International Conference on Process Mining, ICPM 2019, Aachen, Germany, June 24-26, 2019. IEEE 2019, ISBN 978-1-7281-0919-0
- Stephan A. Fahrenkrog-Petersen
, Han van der Aa, Matthias Weidlich:
PRETSA: Event Log Sanitization for Privacy-aware Process Discovery. 1-8 - Sung-Hyun Sim, Hyerim Bae, Yulim Choi:
Likelihood-based Multiple Imputation by Event Chain Methodology for Repair of Imperfect Event Logs with Missing Data. 9-16 - Pieter De Koninck, Jochen De Weerdt:
Scalable Mixed-Paradigm Trace Clustering using Super-Instances. 17-24 - Sander J. J. Leemans, Erik Poppe, Moe Thandar Wynn:
Directly Follows-Based Process Mining: Exploration & a Case Study. 25-32 - Roee Shraga, Avigdor Gal, Dafna Schumacher, Arik Senderovich, Matthias Weidlich:
Inductive Context-aware Process Discovery. 33-40 - Robin Bergenthum:
Prime Miner - Process Discovery using Prime Event Structures. 41-48 - Felix Mannhardt, Petter Arnesen, Andreas D. Landmark:
Estimating the Impact of Incidents on Process Delay. 49-56 - Souad Ramadan, Halim Ibrahim Baqapuri, Erik Roecher, Klaus Mathiak:
Process Mining of Logged Gaming Behavior. 57-64 - João Caldeira, Fernando Brito e Abreu, José Pereira dos Reis, Jorge Cardoso:
Assessing Software Development Teams' Efficiency using Process Mining. 65-72 - Alifah Syamsiyah, Boudewijn F. van Dongen:
Improving Alignment Computation using Model-based Preprocessing. 73-80 - Artem Polyvyanyy, Anna A. Kalenkova:
Monotone Conformance Checking for Partially Matching Designed and Observed Processes. 81-88 - Marco Pegoraro, Wil M. P. van der Aalst:
Mining Uncertain Event Data in Process Mining. 89-96 - Bram Knols, Jan Martijn E. M. van der Werf:
Measuring the Behavioral Quality of Log Sampling. 97-104 - Pavlos Delias, Mehdi Acheli, Daniela Grigori:
Applying the Method of Reflections through an Event Log for Evidence-based Process Innovation. 105-112 - Patrik Koenig, Juergen Mangler, Stefanie Rinderle-Ma:
Compliance Monitoring on Process Event Streams from Multiple Sources. 113-120 - Gyunam Park, Minseok Song:
Prediction-based Resource Allocation using LSTM and Minimum Cost and Maximum Flow Algorithm. 121-128 - Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
Using Convolutional Neural Networks for Predictive Process Analytics. 129-136 - Vadim Denisov, Dirk Fahland, Wil M. P. van der Aalst:
Predictive Performance Monitoring of Material Handling Systems Using the Performance Spectrum. 137-144
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