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A dynamic understanding of customer behavior processes based on clustering and sequence mining., , , and . Expert Syst. Appl., 41 (10): 4648-4657 (2014)Revising history for cost-informed process improvement., , , , , and . Computing, 98 (9): 895-921 (2016)Leveraging process discovery with trace clustering and text mining for intelligent analysis of incident management processes., , , and . IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2012)Perturbing event logs to identify cost reduction opportunities: A genetic algorithm-based approach., , , , , and . IEEE Congress on Evolutionary Computation, page 2428-2435. IEEE, (2014)Decision Mining in a Broader Context: An Overview of the Current Landscape and Future Directions., , , , , and . Business Process Management Workshops, volume 281 of Lecture Notes in Business Information Processing, page 197-207. (2016)Uncovering the Relationship Between Event Log Characteristics and Process Discovery Techniques., , , , , and . Business Process Management Workshops, volume 171 of Lecture Notes in Business Information Processing, page 41-53. Springer, (2013)An Exploratory Approach for Understanding Customer Behavior Processes Based on Clustering and Sequence Mining., , , and . Business Process Management Workshops, volume 171 of Lecture Notes in Business Information Processing, page 237-248. Springer, (2013)Validating and Enhancing Declarative Business Process Models Based on Allowed and Non-occurring Past Behavior., , , and . Business Process Management Workshops, volume 171 of Lecture Notes in Business Information Processing, page 212-223. Springer, (2013)Predictive Process Monitoring in Operational Logistics: A Case Study in Aviation., , and . Business Process Management Workshops, volume 362 of Lecture Notes in Business Information Processing, page 250-262. Springer, (2019)Incorporating Negative Information in Process Discovery., , and . BPM, volume 9253 of Lecture Notes in Computer Science, page 126-143. Springer, (2015)