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Mehdiyev, Nijat [Author]

Explainable Process Predictions (xPP): A Holistic Framework and Applications (Extended Abstract)

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2020

Published in: International Conference on Process Mining (2. : 2020 : Online): ICPM-D 2020: ICPM 2020 Doctoral Consortium and Tool Demonstration Track ; (2020), Seite 17-18
Balke, Stefan [Author]; Gerdes, Karl-Heinz [Author]; Mayer, Lea [Author]; Mehdiyev, Nijat [Author]; Hofer, Norman [Author]; Müller-Kett, Christian [Author]; Witter, Fabian [Author]; Kolb, Andreas [Author] ; pmOne AG, Deutsches Forschungszentrum für Künstliche Intelligenz, FASTEC GmbH

KMU-innovativ - Verbundprojekt: MES4SME - MES-Datengetriebene Optimierung der Produktionsplanung bei Kleinen und Mittelständischen Einzelfertigern : Laufzeit des Vorhabens: 2018-2020

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[Paderborn: [pmOne AG], [2020?]
Enke, David; Mehdiyev, Nijat

A Hybrid Neuro-fuzzy Model to Forecast Inflation

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Elsevier BV, 2014

Published in: Procedia Computer Science, 36 (2014), Seite 254-260
Mehdiyev, Nijat; Enke, David

Interest rate prediction: a neuro-hybrid approach with data preprocessing

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Informa UK Limited, 2014

Published in: International Journal of General Systems, 43 (2014) 5, Seite 535-550
Enke, David; Mehdiyev, Nijat

A New Hybrid Approach For Forecasting Interest Rates

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Elsevier BV, 2012

Published in: Procedia Computer Science, 12 (2012), Seite 259-264
Enke, David; Mehdiyev, Nijat

Type-2 Fuzzy Clustering and a Type-2 Fuzzy Inference Neural Network for the Prediction of Short-term Interest Rates

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Elsevier BV, 2013

Published in: Procedia Computer Science, 20 (2013), Seite 115-120
Mehdiyev, Nijat; Majlatow, Maxim; Fettke, Peter

Counterfactual Explanations in the Big Picture: An Approach for Process Prediction-Driven Job-Shop Scheduling Optimization

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Springer Science and Business Media LLC, 2024

Published in: Cognitive Computation (2024)
Mehdiyev, Nijat; Majlatow, Maxim; Fettke, Peter

Quantifying and explaining machine learning uncertainty in predictive process monitoring: an operations research perspective

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Springer Science and Business Media LLC, 2024

Published in: Annals of Operations Research (2024)
Mayer, Lea; Mehdiyev, Nijat; Fettke, Peter

Manufacturing execution systems driven process analytics: A case study from individual manufacturing

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Elsevier BV, 2021

Published in: Procedia CIRP, 97 (2021), Seite 284-289
Mehdiyev, Nijat; Evermann, Joerg; Fettke, Peter

A Novel Business Process Prediction Model Using a Deep Learning Method

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Springer Science and Business Media LLC, 2020

Published in: Business & Information Systems Engineering, 62 (2020) 2, Seite 143-157
Rehse, Jana-Rebecca; Mehdiyev, Nijat; Fettke, Peter

Towards Explainable Process Predictions for Industry 4.0 in the DFKI-Smart-Lego-Factory

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Springer Science and Business Media LLC, 2019

Published in: KI - Künstliche Intelligenz, 33 (2019) 2, Seite 181-187
Enke, David; Grauer, Manfred; Mehdiyev, Nijat

Stock Market Prediction with Multiple Regression, Fuzzy Type-2 Clustering and Neural Networks

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Elsevier BV, 2011

Published in: Procedia Computer Science, 6 (2011), Seite 201-206
Mehdiyev, Nijat; Mayer, Lea; Lahann, Johannes; Fettke, Peter

Deep learning‐based clustering of processes and their visual exploration: An industry 4.0 use case for small, medium‐sized enterprises

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Wiley, 2024

Published in: Expert Systems, 41 (2024) 2
Mehdiyev, Nijat; Krumeich, Julian; Enke, David; Werth, Dirk; Loos, Peter

Determination of Rule Patterns in Complex Event Processing Using Machine Learning Techniques

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Elsevier BV, 2015

Published in: Procedia Computer Science, 61 (2015), Seite 395-401
Mehdiyev, Nijat; Enke, David; Fettke, Peter; Loos, Peter

Evaluating Forecasting Methods by Considering Different Accuracy Measures

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Elsevier BV, 2016

Published in: Procedia Computer Science, 95 (2016), Seite 264-271
Krumeich, Julian; Mehdiyev, Nijat; Werth, Dirk; Loos, Peter

Lecture Notes in Computer Science: Towards an Extended Metamodel of Event-Driven Process Chains to Model Complex Event Patterns

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Springer International Publishing, 2015

Published in: Lecture Notes in Computer Science (2015), Seite 119-130
Mehdiyev, Nijat; Lahann, Johannes; Emrich, Andreas; Enke, David; Fettke, Peter; Loos, Peter

Time Series Classification using Deep Learning for Process Planning: A Case from the Process Industry

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Elsevier BV, 2017

Published in: Procedia Computer Science, 114 (2017), Seite 242-249

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