Personen - MADOC

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Anzahl der Einträge: 4.

Evermann, Jörg ; Rehse, Jana-Rebecca

; Fettke, Peter (2017) Predicting process behaviour using deep learning. Decision Support Systems : DSS Amsterdam [u.a.] 100 129-140 [Zeitschriftenartikel]

Evermann, Jörg ; Rehse, Jana-Rebecca

; Fettke, Peter XES Tensorflow - process prediction using the Tensorflow deep-learning framework. Franch, Xavier CEUR Workshop Proceedings 1848 41-48 In: Advanced information systems engineering : 29th International Conference CAiSE 2017, Essen, Germany, June 12-16, 2017 : proceedings of CAiSE Forum and Doctoral Consortium papers (2017) Aachen, Germany CAiSE-DC 2078 (Essen, Germany) [Konferenzveröffentlichung]

Evermann, Jörg ; Rehse, Jana-Rebecca

; Fettke, Peter A deep learning approach for predicting process behaviour at runtime. Dumas, Marlon Lecture Notes in Business Information Processing : LNBIP 281 327-338 In: Business Process Management Workshops : BPM 2016 International Workshops, Rio de Janeiro, Brazil, September 19, 2016, Revised Papers (2016) Berlin [u.a.] BPM 2016 International Workshops (Rio de Janeiro, Brazil) [Konferenzveröffentlichung]

Evermann, Jörg ; Rehse, Jana-Rebecca

; Fettke, Peter Process discovery from event stream data in the cloud - A scalable, distributed implementation of the flexible heuristics miner on the Amazon Kinesis cloud infrastructure. Varrette, Sébastien 645-652 In: 8th IEEE International Conference on Cloud Computing Technology and Science : CloudCom 2016 : 12-15 December 2016, Luxembourg City, Luxembourg : proceedings (2016) Piscataway, NJ 18th IEEE Conference on Business Informatics CBI 2016 Doctoral Consortium (Paris, France) [Konferenzveröffentlichung]

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