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Implementation of a Situation Aware and Real-Time Approach for Decision Support in Online Surgery Scheduling., , , и . CBMS, стр. 417-421. IEEE Computer Society, (2018)Towards Multi-Modal Entity Resolution for Product Matching., и . GvDB, том 3075 из CEUR Workshop Proceedings, CEUR-WS.org, (2021)Deep Learning zur Vorhersage von Feinstaubbelastung., и . BTW (Workshops), том P-290 из LNI, стр. 305-308. Gesellschaft für Informatik, Bonn, (2019)Online Surgery Rescheduling - A Data-driven Approach for Real-time Decision Support., , , и . ICEIS (1), стр. 336-343. SciTePress, (2018)Big graph analysis by visually created workflows., , , и . BTW, том P-289 из LNI, стр. 559-563. Gesellschaft für Informatik, Bonn, (2019)BIGGR: Bringing Gradoop to Applications., , , , , , и . Datenbank-Spektrum, 19 (1): 51-60 (2019)An Intelligent and Data-Driven Decision Support Solution for the Online Surgery Scheduling Problem., , , и . ICEIS (Revised Selected Papers), том 363 из Lecture Notes in Business Information Processing, стр. 82-103. Springer, (2018)A Big Data architecture for intra-surgical remaining time predictions., , и . EUSPN/ICTH, том 113 из Procedia Computer Science, стр. 310-317. Elsevier, (2017)