Detlef D. Nauck

Orcid: 0000-0002-9077-4282

Affiliations:
  • British Telecom, Ipswich, UK
  • Otto von Guericke University of Magdeburg, Germany
  • Braunschweig University of Technology, Germany (PhD 1994)


According to our database1, Detlef D. Nauck authored at least 68 papers between 1991 and 2021.

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Bibliography

2021
AdaptiveSystems: An Integrated Framework for Adaptive Systems Design and Development Using MPS JetBrains Domain-Specific Modeling Environment.
IEEE Access, 2021

Early Prediction of Complex Business Processes Using Association Rule Based Mining.
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2021

2020
Benchmarking Video Service Quality: Quantifying the Viewer Impact of Loss-Related Impairments.
IEEE Trans. Netw. Serv. Manag., 2020

AdaptiveVLE: An Integrated Framework for Personalized Online Education Using MPS JetBrains Domain-Specific Modeling Environment.
IEEE Access, 2020

Classification Algorithms Framework (CAF) to Enable Intelligent Systems Using JetBrains MPS Domain-Specific Languages Environment.
IEEE Access, 2020

2019
A Generic Model for End State Prediction of Business Processes Towards Target Compliance.
Proceedings of the Artificial Intelligence XXXVI, 2019

Framework for Personalised Online Education based on Learning Analytics through the use of Domain-Specific Modelling and Data Analytics.
Proceedings of the Conference on Next Generation Computing Applications, 2019

Cuscus: An End User Programming Tool for Data Visualisation.
Proceedings of the End-User Development - 7th International Symposium, 2019

A Rule Induction Approach to Forecasting Critical Alarms in a Telecommunication Network.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2017
A hybrid model for business process event and outcome prediction.
Expert Syst. J. Knowl. Eng., 2017

Using Machine Learning for Dynamic Multicast Capacity Planning.
Proceedings of the Artificial Intelligence XXXIV, 2017

2016
Towards Combining Attribute-based and Time Series-based Visual Querying.
Proceedings of the 18th Eurographics Conference on Visualization, 2016

A Method of Rule Induction for Predicting and Describing Future Alarms in a Telecommunication Network.
Proceedings of the Research and Development in Intelligent Systems XXXIII, 2016

2015
Towards Expressive Rule Induction on IP Network Event Streams.
Proceedings of the Research and Development in Intelligent Systems XXXII, 2015

2014
Application of Bayesian Networks for Autonomic Network Management.
J. Netw. Syst. Manag., 2014

Sequential Clustering for Event Sequences and Its Impact on Next Process Step Prediction.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

2013
Sequential Approaches for Predicting Business Process Outcome and Process Failure Warning.
Proceedings of the 3rd International Symposium on Data-driven Process Discovery and Analysis, 2013

KNNs and Sequence Alignment for Churn Prediction.
Proceedings of the Research and Development in Intelligent Systems XXX, 2013

Modern Analytics in Field and Service Operations.
Proceedings of the Transforming Field and Service Operations, 2013

2012
A Hybrid Model for Business Process Event Prediction.
Proceedings of the Research and Development in Intelligent Systems XXIX, 2012

Performance analysis of Bayesian Networks-based distributed Call Admission Control for NGN.
Proceedings of the 2012 IEEE Network Operations and Management Symposium, 2012

2011
Novel distributed call admission control solution based on machine learning approach.
Proceedings of the 12th IFIP/IEEE International Symposium on Integrated Network Management, 2011

2010
Learning-Based Call Admission Control Framework for QoS Management in Heterogeneous Networks.
Proceedings of the Networked Digital Technologies - Second International Conference, 2010

Knowledge Discovery Using Bayesian Network Framework for Intelligent Telecommunication Network Management.
Proceedings of the Knowledge Science, 2010

A Classification Algorithm for Process Sequences Based on Markov Chains and Bayesian Networks.
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2010

Machine learning based Call Admission Control approaches: A comparative study.
Proceedings of the 6th International Conference on Network and Service Management, 2010

2009
Mining changing customer segments in dynamic markets.
Expert Syst. Appl., 2009

Measuring and Visualising Similarity of Customer Satisfaction Profiles for Different Customer Segments.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

2008
Smart Data Analysis Services.
Proceedings of the Intelligent Techniques and Tools for Novel System Architectures, 2008

2007
Intelligent data analysis with fuzzy decision trees.
Soft Comput., 2007

Relevance Feedback for Association Rules by Leveraging Concepts from Information Retrieval.
Proceedings of the Research and Development in Intelligent Systems XXIV, 2007

A Framework for Discovering and Analyzing Changing Customer Segments.
Proceedings of the Advances in Data Mining. Theoretical Aspects and Applications, 2007

GNU Fuzzy.
Proceedings of the FUZZ-IEEE 2007, 2007

2006
Towards the automation of intelligent data analysis.
Appl. Soft Comput., 2006

Real Time Business Intelligence for the Adaptive Enterprise.
Proceedings of the Eighth IEEE International Conference on E-Commerce Technology (CEC 2006) / Third IEEE International Conference on Enterprise Computing, 2006

Towards a Framework for Change Detection in Data Sets.
Proceedings of the Research and Development in Intelligent Systems XXIII, 2006

K Nearest Sequence Method and Its Application to Churn Prediction.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Automatically Determine Initial Fuzzy Partitions for Neuro-Fuzzy Classifiers.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2005
Detecting temporally redundant association rules.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

On Choosing an Appropriate Data Analysis Algorithm.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

Automatic Selection of Data Analysis Methods.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

2004
Neuro-fuzzy learning with symbolic and numeric data.
Soft Comput., 2004

Special issue on hybrid methods for adaptive systems.
Fuzzy Sets Syst., 2004

Dynamic Daily-Living Patterns and Association Analyses in Tele-Care Systems.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Fuzzy methods for automated intelligent data analysis.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

2003
Fuzzy data analysis with NEFCLASS.
Int. J. Approx. Reason., 2003

Measuring interpretability in rule-based classification systems.
Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

Neuro-Fuzzy-Systeme
Vieweg, ISBN: 978-3-528-25265-6, 2003

2001
9th International Conference on Fuzzy Systems (FUZZ-IEEE 2000).
Künstliche Intell., 2001

Information Fusion in Neuro-Fuzzy Systems.
Proceedings of the Data Fusion and Perception, 2001

2000
Adaptive Rule Weights in Neuro-Fuzzy Systems.
Neural Comput. Appl., 2000

NEFCLASS-J - A JAVA-Based Soft Computing Tool.
Proceedings of the Intelligent Systems and Soft Computing: Prospects, 2000

Problems and Prospects in Fuzzy Data Analysis.
Proceedings of the Intelligent Systems and Soft Computing: Prospects, 2000

Knowledge discovery with NEFCLASS.
Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

Soft Computing Techniques for an Intelligent use of Internet Resources.
Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 2000

1999
Neuro-fuzzy systems for function approximation.
Fuzzy Sets Syst., 1999

Obtaining interpretable fuzzy classification rules from medical data.
Artif. Intell. Medicine, 1999

1998
Neuro-fuzzy control based on the NEFCON-model: recent developments.
Soft Comput., 1998

Data Mining und Data Warehousing als Grundlage moderner entscheidungsunterstützender Systeme (Workshop-Bericht).
Datenbank Rundbr., 1998

1997
Erlerner von Fuzzy-Regeln.
Inform. Forsch. Entwickl., 1997

A neuro-fuzzy method to learn fuzzy classification rules from data.
Fuzzy Sets Syst., 1997

1995
NEFCLASSmdash;a neuro-fuzzy approach for the classification of data.
Proceedings of the 1995 ACM symposium on applied computing, 1995

1994
Modellierung Neuronaler Fuzzy-Regler.
PhD thesis, 1994

Neuronale Netze und Fuzzy-Systeme - Grundlagen des Konnektionismus, neuronaler Fuzzy-Systeme und der Kopplung mit wissensbasierten Methoden.
Artificial intelligence - Künstliche Intelligenz, Vieweg, ISBN: 978-3-528-05265-2, 1994

1993
Combining Neural Networks and Fuzzy Controllers.
Proceedings of the Fuzzy Logic in Artificial Intelligence, 1993

A fuzzy neural network learning fuzzy control rules and membership functions by fuzzy error backpropagation.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1992
Reasoning under Uncertainty with Temporal Aspects.
Proceedings of the Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1992

1991
Reasoning with Mass Distributions.
Proceedings of the UAI '91: Proceedings of the Seventh Annual Conference on Uncertainty in Artificial Intelligence, 1991


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