Nijat Mehdiyev

发表

Prescriptive Process Analytics with Deep Learning and Explainable Artificial Intelligence

Peter Fettke, Nijat Mehdiyev, P. Fettke, 2020, ECIS.

A New Hybrid Approach For Forecasting Interest Rates

David Enke, Nijat Mehdiyev, 2012, Complex Adaptive Systems.

Cyber Physical Systems: Cyber Security

Peter Loos, Patrick T. Hester, Iris D. Tommelein, 2015 .

Towards an Extended Metamodel of Event-Driven Process Chains to Model Complex Event Patterns

Peter Loos, Dirk Werth, Julian Krumeich, 2015, ER Workshops.

Evaluating Forecasting Methods by Considering Different Accuracy Measures

Peter Loos, Nijat Mehdiyev, Peter Fettke, 2016 .

Substitution of hazardous chemical substances using Deep Learning and t-SNE

Peter Fettke, Nijat Mehdiyev, Patrick Lübbecke, 2019, Wirtschaftsinformatik.

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

Peter Loos, Peter Fettke, Andreas Emrich, 2017 .

iPRODICT - Intelligent Process Prediction based on Big Data Analytics

Peter Loos, Peter Fettke, Andreas Emrich, 2017, BPM.

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

David Enke, Nijat Mehdiyev, D. Enke, 2013, Complex Adaptive Systems.

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

Peter Loos, Dirk Werth, Julian Krumeich, 2015, Complex Adaptive Systems.

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

Jana-Rebecca Rehse, Peter Fettke, Nijat Mehdiyev, 2019, KI - Künstliche Intelligenz.

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

David Enke, Nijat Mehdiyev, D. Enke, 2014, Int. J. Gen. Syst..

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

Nijat Mehdiyev, Nijat Mehdiyev, 2020, ICPM Doctoral Consortium / Tools.

Sensor event mining with hybrid ensemble learning and evolutionary feature subset selection model

Peter Loos, Dirk Werth, Julian Krumeich, 2015, 2015 IEEE International Conference on Big Data (Big Data).

A Novel Business Process Prediction Model Using a Deep Learning Method

Peter Fettke, Joerg Evermann, Nijat Mehdiyev, 2018, Business & Information Systems Engineering.

A Hybrid Neuro-fuzzy Model to Forecast Inflation

David Enke, Nijat Mehdiyev, D. Enke, 2014, Complex Adaptive Systems.

Stock Market Prediction Using a Combination of Stepwise Regression Analysis, Differential Evolution-based Fuzzy Clustering, and a Fuzzy Inference Neural Network

David Enke, Nijat Mehdiyev, D. Enke, 2013, Intell. Autom. Soft Comput..

Identification of Distinct Usage Patterns and Prediction of Customer Behavior 3 2 Data Description and Software Tool Chain

Peter Fettke, Joerg Evermann, Nijat Mehdiyev, 2016 .

A Multi-stage Deep Learning Approach for Business Process Event Prediction

Peter Fettke, Joerg Evermann, Nijat Mehdiyev, 2017, 2017 IEEE 19th Conference on Business Informatics (CBI).

Determination of Event Patterns for Complex Event Processing Using Fuzzy Unordered Rule Induction Algorithm with Multi-objective Evolutionary Feature Subset Selection

Peter Loos, Dirk Werth, Julian Krumeich, 2016, 2016 49th Hawaii International Conference on System Sciences (HICSS).

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

Manfred Grauer, Nijat Mehdiyev, David Enke, 2011, Complex Adaptive Systems.

Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process Monitoring pdf

Nijat Mehdiyev, Peter Fettke, Nijat Mehdiyev, 2020, Studies in Computational Intelligence.

Local Post-Hoc Explanations for Predictive Process Monitoring in Manufacturing pdf

Nijat Mehdiyev, Peter Fettke, 2020, ArXiv.

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

Peter Fettke, Nijat Mehdiyev, Lea Mayer, 2021 .

Local Post-Hoc Explanations for Predictive Process Monitoring in Manufacturing pdf

Peter Fettke, Nijat Mehdiyev, P. Fettke, 2020, ECIS.

Exploring the Potentials of Artificial Intelligence Techniques for Business Process Analysis

Peter Loos, Jana-Rebecca Rehse, Peter Fettke, 2017 .