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Gaël Bernard
Gaël Bernard
Data Scientist, EPFL
Verified email at epfl.ch - Homepage
Title
Cited by
Cited by
Year
A Process Mining Based Model for Customer Journey Mapping
G Bernard, P Andritsos
CAiSE, 2017
902017
Cjm-ab: Abstracting customer journey maps using process mining
G Bernard, P Andritsos
Information Systems in the Big Data Era: CAiSE Forum 2018, Tallinn, Estonia …, 2018
322018
CJM-ex: Goal-oriented Exploration of Customer Journey Maps using Event Logs and Data Analytics
G Bernard, P Andritsos
BPM 2017 (Barcelona), 2017
292017
Discovering Customer Journey Maps using a Mixture of Markov Models
M Harbich, G Bernard, P Berkes, B Garbinato, P Andritsos
IFIP 2.6 International Symposium on Data-Driven Process Discovery and Analysis, 2017
192017
Contextual and behavioral customer journey discovery using a genetic approach
G Bernard, P Andritsos
Advances in Databases and Information Systems: 23rd European Conference …, 2019
132019
When sales meet process mining: A scientific approach to sales process and performance management
G Bernard, T Boillat, C Legner, P Andritsos
International Conference on Information Systems (ICIS), 2016
122016
Discovering customer journeys from evidence: a genetic approach inspired by process mining
G Bernard, P Andritsos
Information Systems Engineering in Responsible Information Systems: CAiSE …, 2019
112019
Accurate and transparent path prediction using process mining
G Bernard, P Andritsos
Advances in Databases and Information Systems: 23rd European Conference …, 2019
102019
Selecting representative sample traces from large event logs
G Bernard, P Andritsos
2021 3rd International Conference on Process Mining (ICPM), 56-63, 2021
72021
Process Mining-based Customer Journey Analytics
G Bernard
University of Lausanne, 2020
62020
Cut to the trace! process-aware partitioning of long-running cases in customer journey logs
G Bernard, A Senderovich, P Andritsos
International Conference on Advanced Information Systems Engineering, 519-535, 2021
42021
Truncated trace classifier. removal of incomplete traces from event logs
G Bernard, P Andritsos
Enterprise, Business-Process and Information Systems Modeling: 21st …, 2020
42020
An Empirical Study of the Usage of Checksums for Web Downloads
G Bernard, R Coudert, B Chapuis, K Huguenin
Proceedings of the ACM Web Conference 2023, 2155-2165, 2023
2023
VisuELs: Visualization of Event Logs
G Bernard, P Andritsos
2021
Cut to the Trace!
G Bernard, A Senderovich, P Andritsos
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Articles 1–15