Process discovery from event stream data in the cloud - A scalable, distributed implementation of the flexible heuristics miner on the Amazon Kinesis cloud infrastructure


Evermann, Jörg ; Rehse, Jana-Rebecca ; Fettke, Peter



DOI: https://doi.org/10.1109/CloudCom.2016.0111
URL: https://ieeexplore.ieee.org/document/7830752
Additional URL: https://joerg.evermann.ca/docs/Evermannetal2016.pd...
Document Type: Conference or workshop publication
Year of publication: 2016
Book title: 8th IEEE International Conference on Cloud Computing Technology and Science : CloudCom 2016 : 12-15 December 2016, Luxembourg City, Luxembourg : proceedings
Page range: 645-652
Conference title: 18th IEEE Conference on Business Informatics CBI 2016 Doctoral Consortium
Location of the conference venue: Paris, France
Date of the conference: 29.08.-01.09.2016
Publisher: Varrette, Sébastien
Place of publication: Piscataway, NJ
Publishing house: IEEE
ISBN: 978-1-5090-1446-0 , 1-5090-1446-2 , 978-1-5090-1445-3
ISSN: 2330-2186
Publication language: English
Institution: Business School > Management Analytics (Juniorprofessur) (Rehse 2020-)
Subject: 004 Computer science, internet
650 Management

Dieser Datensatz wurde nicht während einer Tätigkeit an der Universität Mannheim veröffentlicht, dies ist eine Externe Publikation.




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Evermann, Jörg ; Rehse, Jana-Rebecca ORCID: 0000-0001-5707-6944 ; 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) [Conference or workshop publication]


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