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What averages do not tell: predicting real life processes with sequential deep learning.

, , , and . SAC, page 1128-1131. ACM, (2022)

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Optimizing Sequential Pattern Mining Within Multiple Streams., , , and . BTW Workshops, volume P-242 of LNI, page 223-232. GI, (2015)BitBooster: Effective Approximation of Distance Metrics via Binary Operations., , and . COMPSAC, page 201-210. IEEE, (2022)Conformance checking of process event streams with constraints on data retention., , and . Inf. Syst., (July 2023)Prefix Imputation of Orphan Events in Event Stream Processing., , and . Frontiers Big Data, (2021)Online Prediction of Aggregated Retailer Consumer Behaviour., , and . ICPM Workshops, volume 433 of Lecture Notes in Business Information Processing, page 211-223. Springer, (2021)A Framework for Efficient Memory Utilization in Online Conformance Checking., , and . CoRR, (2021)An Innovative Online Process Mining Framework for Supporting Incremental GDPR Compliance of Business Processes., , and . IEEE BigData, page 2982-2991. IEEE, (2019)Online Prediction Threshold Optimization Under Semi-deferred Labelling., , and . EDBT/ICDT Workshops, volume 3651 of CEUR Workshop Proceedings, CEUR-WS.org, (2024)An Effective and Efficient Approach for Supporting the Generation of Synthetic Memory Reference Traces via Hierarchical Hidden/Non-Hidden Markov Models., , and . SMC, page 2953-2959. IEEE, (2018)Effective Steering of Customer Journey via Order-Aware Recommendation., , and . ICDM Workshops, page 828-837. IEEE, (2018)