Jochen De Weerdt
According to our database1, Jochen De Weerdt authored at least 49 papers between 2010 and 2019.
Legend:Book In proceedings Article PhD thesis Other
Proceedings of the Encyclopedia of Big Data Technologies., 2019
Scalable Mixed-Paradigm Trace Clustering using Super-Instances.
Proceedings of the International Conference on Process Mining, 2019
Discovering hidden dependencies in constraint-based declarative process models for improving understandability.
Inf. Syst., 2018
On the operational efficiency of different feature types for telco Churn prediction.
European Journal of Operational Research, 2018
Discovering the Impact of Students' Modeling Behavior on their Final Performance.
Proceedings of the Practice of Enterprise Modeling - 11th IFIP WG 8.1. Working Conference, PoEM 2018, Vienna, Austria, October 31, 2018
act2vec, trace2vec, log2vec, and model2vec: Representation Learning for Business Processes.
Proceedings of the Business Process Management - 16th International Conference, 2018
Understanding Automated Feedback in Learning Processes by Mining Local Patterns.
Proceedings of the Business Process Management Workshops, 2018
Combining Temporal Aspects of Dynamic Networks with Node2Vec for a more Efficient Dynamic Link Prediction.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
Similarity-Based Approaches for Determining the Number of Trace Clusters in Process Discovery.
T. Petri Nets and Other Models of Concurrency, 2017
Change visualisation: Analysing the resource and timing differences between two event logs.
Inf. Syst., 2017
Fodina: A robust and flexible heuristic process discovery technique.
Decision Support Systems, 2017
Explaining clusterings of process instances.
Data Min. Knowl. Discov., 2017
Behavioral Constraint Template-Based Sequence Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Churn Prediction Using Dynamic RFM-Augmented Node2vec.
Proceedings of the Personal Analytics and Privacy. An Individual and Collective Perspective, 2017
Scalable RFM-enriched Representation Learning for Churn Prediction.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017
An Approach for Incorporating Expert Knowledge in Trace Clustering.
Proceedings of the Advanced Information Systems Engineering, 2017
Dropout Prediction in MOOCs: A Comparison Between Process and Sequence Mining.
Proceedings of the Business Process Management Workshops, 2017
Revising history for cost-informed process improvement.
Process-mining enabled feedback: "Tell me what I did wrong" vs. "tell me how to do it right".
Computers in Human Behavior, 2016
Erratum to: Mixed-Paradigm Process Modeling with Intertwined State Spaces.
Business & Information Systems Engineering, 2016
Mixed-Paradigm Process Modeling with Intertwined State Spaces.
Business & Information Systems Engineering, 2016
Automating immediate and personalized feedback taking conceptual modelling education to a next level.
Proceedings of the Tenth IEEE International Conference on Research Challenges in Information Science, 2016
Improving Understandability of Declarative Process Models by Revealing Hidden Dependencies.
Proceedings of the Advanced Information Systems Engineering, 2016
Multi-objective Trace Clustering: Finding More Balanced Solutions.
Proceedings of the Business Process Management Workshops, 2016
A Stability Assessment Framework for Process Discovery Techniques.
Proceedings of the Business Process Management - 14th International Conference, 2016
Determining the Number of Trace Clusters: a Stability-based Approach.
Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data 2016 Satellite event of the conferences: 37th International Conference on Application and Theory of Petri Nets and Concurrency Petri Nets 2016 and 16th International Conference on Application of Concurrency to System Design ACSD 2016, 2016
Fusion Miner: Process discovery for mixed-paradigm models.
Decision Support Systems, 2015
Gamification of Declarative Process Models for Learning and Model Verification.
Proceedings of the Business Process Management Workshops - BPM 2015, 13th International Workshops, Innsbruck, Austria, August 31, 2015
Determining Process Model Precision and Generalization with Weighted Artificial Negative Events.
IEEE Trans. Knowl. Data Eng., 2014
Controlled automated discovery of collections of business process models.
Inf. Syst., 2014
Process mining analysis of conceptual modeling behavior of novices - empirical study using JMermaid modeling and experimental logging environment.
Computers in Human Behavior, 2014
Monitoring care processes in the gynecologic oncology department.
Comp. in Bio. and Med., 2014
Multi-paradigm Process Mining: Retrieving Better Models by Combining Rules and Sequences - (Short Paper).
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2014 Conferences, 2014
Perturbing event logs to identify cost reduction opportunities: A genetic algorithm-based approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
Bidimensional Process Discovery for Mining BPMN Models.
Proceedings of the Business Process Management Workshops, 2014
SECPI: Searching for Explanations for Clustered Process Instances.
Proceedings of the Business Process Management - 12th International Conference, 2014
Active Trace Clustering for Improved Process Discovery.
IEEE Trans. Knowl. Data Eng., 2013
Process Mining for the multi-faceted analysis of business processes - A case study in a financial services organization.
Computers in Industry, 2013
A comprehensive benchmarking framework (CoBeFra) for conformance analysis between procedural process models and event logs in ProM.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013
Report: Business Process Intelligence Challenge 2013.
Proceedings of the Business Process Management Workshops, 2013
Business process discovery: new techniques and applications.
PhD thesis, 2012
A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs.
Inf. Syst., 2012
Getting a Grasp on Clinical Pathway Data: An Approach Based on Process Mining.
Proceedings of the Emerging Trends in Knowledge Discovery and Data Mining - PAKDD 2012 International Workshops: DMHM, GeoDoc, 3Clust, and DSDM, Kuala Lumpur, Malaysia, May 29, 2012
Leveraging process discovery with trace clustering and text mining for intelligent analysis of incident management processes.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Improved Artificial Negative Event Generation to Enhance Process Event Logs.
Proceedings of the Advanced Information Systems Engineering, 2012
Process discovery in event logs: An application in the telecom industry.
Appl. Soft Comput., 2011
A robust F-measure for evaluating discovered process models.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011
Advanced Care-Flow Mining and Analysis.
Proceedings of the Business Process Management Workshops, 2011
A Critical Evaluation Study of Model-Log Metrics in Process Discovery.
Proceedings of the Business Process Management Workshops, 2010