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Detecting Change Processes in Dynamic Networks by Frequent Graph Evolution Rule Mining.

, , , , and . ICDM, page 1191-1196. IEEE Computer Society, (2016)

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Online Comparison of Streaming Process Discovery Algorithms., and . BPM (PhD/Demos), volume 2420 of CEUR Workshop Proceedings, page 164-168. CEUR-WS.org, (2019)Predicting Activities of Interest in the Remainder of Customer Journeys Under Online Settings., and . ICPM Workshops, volume 468 of Lecture Notes in Business Information Processing, page 145-157. Springer, (2022)Effective Steering of Customer Journey via Order-Aware Recommendation., , and . ICDM Workshops, page 828-837. IEEE, (2018)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)On Inferring a Meaningful Similarity Metric for Customer Behaviour., and . ECML/PKDD (5), volume 12979 of Lecture Notes in Computer Science, page 234-250. Springer, (2021)Online conformance checking: relating event streams to process models using prefix-alignments., , , , and . Int. J. Data Sci. Anal., 8 (3): 269-284 (2019)Evaluation of Probability Distribution Distance Metrics in Traffic Flow Outlier Detection., , , , , and . MDM, page 64-69. IEEE, (2022)Data-driven Support of Coaches in Professional Cycling using Race Performance Prediction., , and . icSPORTS, page 43-53. SCITEPRESS, (2021)Differential private trajectory protection of moving objects., , and . IWGS@SIGSPATIAL/GIS, page 68-77. ACM, (2012)What averages do not tell: predicting real life processes with sequential deep learning., , , and . SAC, page 1128-1131. ACM, (2022)