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Emails Analysis for Business Process Discovery.

, , , and . ATAED@Petri Nets/ACSD, volume 2371 of CEUR Workshop Proceedings, page 54-70. CEUR-WS.org, (2019)

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Predictive K-means with local models., , , and . CoRR, (2020)Emails Analysis for Business Process Discovery., , , and . ATAED@Petri Nets/ACSD, volume 2371 of CEUR Workshop Proceedings, page 54-70. CEUR-WS.org, (2019)Discovering Business Processes And Activities From Messaging Systems: State-Of-The Art., , , and . WETICE, page 137-142. IEEE, (2020)Discovery of Activities' Actor Perspective from Emails based on Speech Acts Detection., , , , and . ICPM, page 73-80. IEEE, (2020)Une méthode supervisée pour initialiser les centres des K-moyennes., , and . EGC, volume E-30 of Revue des Nouvelles Technologies de l'Information, page 147-152. Éditions RNTI, (2016)Deep Dive Survey Miner., , and . CoopIS (Demos), volume 3552 of CEUR Workshop Proceedings, page 31-35. CEUR-WS.org, (2023)Clustering prédictif Décrire et prédire simultanément. (Predictive clustering Describe and predict simultaneously).. University of Paris-Saclay, France, (2016)Supervised Pre-processings Are Useful for Supervised Clustering., , and . ECDA, page 147-157. Springer, (2014)Discovering Activities from Emails Based on Pattern Discovery Approach., , , , and . BPM (Forum), volume 392 of Lecture Notes in Business Information Processing, page 88-104. Springer, (2020)Apport des modèles locaux pour les K-moyennes prédictives., and . EGC, volume E-34 of RNTI, page 191-202. Éditions RNTI, (2018)