Detlef D. Nauck

Detlef D. Nauck, Ben Azvine, Zhan Cui, 2006, The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE'06).

Special issue on hybrid methods for adaptive systems

Detlef D. Nauck, 2004, Fuzzy Sets Syst..

A hybrid model for business process event and outcome prediction

Detlef D. Nauck, Bogdan Gabrys, Mai Le, 2017, Expert Syst. J. Knowl. Eng..

Learning-Based Call Admission Control Framework for QoS Management in Heterogeneous Networks

Detlef D. Nauck, Sally I. McClean, Bryan W. Scotney, 2010, NDT.

Measuring interpretability in rule-based classification systems

Detlef D. Nauck, D. Nauck, 2003, The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03..

Dynamic daily-living patterns and association analyses in tele-care systems

Detlef D. Nauck, Trevor P. Martin, Basim A. Majeed, 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).

Sequential Approaches for Predicting Business Process Outcome and Process Failure Warning

Detlef D. Nauck, Bogdan Gabrys, Mai Le, 2013, SIMPDA.

Towards Combining Attribute-based and Time Series-based Visual Querying

Detlef D. Nauck, Martin Spott, Jürgen Bernard, 2016, EuroVis.

Obtaining interpretable fuzzy classification rules from medical data

Rudolf Kruse, Detlef D. Nauck, D. Nauck, 1999, Artif. Intell. Medicine.

NEFCLASS-J - A JAVA-Based Soft Computing Tool

Rudolf Kruse, Detlef D. Nauck, D. Nauck, 2000, Intelligent Systems and Soft Computing.

Intelligent data analysis with fuzzy decision trees

Rudolf Kruse, Detlef D. Nauck, Martin Spott, 2007, Soft Comput..

Knowledge discovery with NEFCLASS

Detlef D. Nauck, 2000, KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516).

Application of Bayesian Networks for Autonomic Network Management

Detlef D. Nauck, Sally I. McClean, Bryan W. Scotney, 2013, Journal of Network and Systems Management.

A neuro-fuzzy method to learn fuzzy classification rules from data

Rudolf Kruse, Detlef D. Nauck, D. Nauck, 1997, Fuzzy Sets Syst..

Novel distributed call admission control solution based on machine learning approach

Detlef D. Nauck, Sally I. McClean, Bryan W. Scotney, 2011, 12th IFIP/IEEE International Symposium on Integrated Network Management (IM 2011) and Workshops.

Machine learning based Call Admission Control approaches: A comparative study

Detlef D. Nauck, Sally I. McClean, Bryan W. Scotney, 2010, 2010 International Conference on Network and Service Management.

Benchmarking Video Service Quality: Quantifying the Viewer Impact of Loss-Related Impairments

Miguel Rio, Detlef D. Nauck, Vidhyalakshmi Karthikeyan, 2020, IEEE Transactions on Network and Service Management.

Knowledge Discovery Using Bayesian Network Framework for Intelligent Telecommunication Network Management

Detlef D. Nauck, Sally I. McClean, Bryan W. Scotney, 2010, KSEM.

Measuring and Visualising Similarity of Customer Satisfaction Profiles for Different Customer Segments

Frank Klawonn, Detlef D. Nauck, Katharina Tschumitschew, 2009, HAIS.

Neuro-fuzzy control based on the NEFCON-model: recent developments

Rudolf Kruse, Andreas Nürnberger, Detlef D. Nauck, 1999, Soft Comput..

Using Machine Learning for Dynamic Multicast Capacity Planning

Miguel Rio, Detlef D. Nauck, Vidhyalakshmi Karthikeyan, 2017, SGAI Conf..