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Detecting temporal workarounds in business processes : a deep-learning-based method for analysing event log data
Weinzierl, Sven; Wolf, Verena; Pauli, Tobias; … - In: Journal of business analytics 5 (2022) 1, pp. 76-100
Persistent link: https://www.econbiz.de/10013270533
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Predictive end-to-end enterprise process network monitoring
Oberdorf, Felix; Schaschek, Myriam; Weinzierl, Sven; … - In: Business & information systems engineering 65 (2023) 1, pp. 49-64
Persistent link: https://www.econbiz.de/10014228189
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Beyond descriptive taxonomies in data analytics : a systematic evaluation approach for data-driven method pipelines
Zschech, Patrick - In: Information systems and e-business management : ISeB 21 (2023) 1, pp. 193-227
Persistent link: https://www.econbiz.de/10014252237
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Intelligent user assistance for automated data mining method selection
Zschech, Patrick; Horn, Richard; Höschele, Daniel; … - In: Business & information systems engineering 62 (2020) 3, pp. 227-247
Persistent link: https://www.econbiz.de/10012242559
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Prognostic model development with missing labels
Zschech, Patrick; Heinrich, Kai; Bink, Raphael; … - In: Business & information systems engineering : BISE ; the … 61 (2019) 3, pp. 327-343
Persistent link: https://www.econbiz.de/10012028160
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Comprehensible predictive models for business processes
Breuker, Dominic; Matzner, Martin; Becker, Jörg - In: Management information systems : mis quarterly 40 (2016) 4, pp. 1009-1034
Persistent link: https://www.econbiz.de/10011612514
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Seven paradoxes of business process management in a hyper-connected world
Beverungen, Daniel; Buijs, Joos C. A. M.; Becker, Jörg; … - In: Business & information systems engineering 63 (2021) 2, pp. 145-156
Persistent link: https://www.econbiz.de/10012486329