| 2026 | ACL | A Study of LLMs' Preferences for Libraries and Programming Languages. | Lukas Twist, Jie M. Zhang, Mark Harman, Don Syme, Joost Noppen, Helen Yannakoudakis, Detlef D. Nauck |
| 2019 | ICDM | A Rule Induction Approach to Forecasting Critical Alarms in a Telecommunication Network. | Chris Wrench, Frederic T. Stahl, Giuseppe Di Fatta, Vidhyalakshmi Karthikeyan, Detlef D. Nauck |
| 2019 | SGAI | A Generic Model for End State Prediction of Business Processes Towards Target Compliance. | Naveed Khan, Zulfiqar Ali, Aftab Ali, Sally I. McClean, Darryl Charles, Paul N. Taylor, Detlef D. Nauck |
| 2017 | SGAI | Using Machine Learning for Dynamic Multicast Capacity Planning. | Vidhyalakshmi Karthikeyan, Detlef D. Nauck, Miguel Rio |
| 2016 | SGAI | A Method of Rule Induction for Predicting and Describing Future Alarms in a Telecommunication Network. | Chris Wrench, Frederic T. Stahl, Thien Le, Giuseppe Di Fatta, Vidhyalakshmi Karthikeyan, Detlef D. Nauck |
| 2015 | SGAI | Towards Expressive Rule Induction on IP Network Event Streams. | Chris Wrench, Frederic T. Stahl, Giuseppe Di Fatta, Vidhyalakshmi Karthikeyan, Detlef D. Nauck |
| 2014 | IPMU | Sequential Clustering for Event Sequences and Its Impact on Next Process Step Prediction. | Mai Le, Detlef D. Nauck, Bogdan Gabrys, Trevor Martin |
| 2013 | SGAI | KNNs and Sequence Alignment for Churn Prediction. | Mai Le, Detlef D. Nauck, Bogdan Gabrys, Trevor Martin |
| 2012 | NOMS | Performance analysis of Bayesian Networks-based distributed Call Admission Control for NGN. | Abul Bashar, Gerard Parr, Sally I. McClean, Bryan W. Scotney, Detlef D. Nauck |
| 2012 | SGAI | A Hybrid Model for Business Process Event Prediction. | Mai Le, Bogdan Gabrys, Detlef D. Nauck |
| 2011 | IM | Novel distributed call admission control solution based on machine learning approach. | Abul Bashar, Gerard Parr, Sally I. McClean, Bryan W. Scotney, Detlef D. Nauck |
| 2010 | CNSM | Machine learning based Call Admission Control approaches: A comparative study. | Abul Bashar, Gerard Parr, Sally I. McClean, Bryan W. Scotney, Detlef D. Nauck |
| 2010 | KES | A Classification Algorithm for Process Sequences Based on Markov Chains and Bayesian Networks. | Katharina Tschumitschew, Detlef D. Nauck, Frank Klawonn |
| 2010 | KSEM | Knowledge Discovery Using Bayesian Network Framework for Intelligent Telecommunication Network Management. | Abul Bashar, Gerard Parr, Sally I. McClean, Bryan W. Scotney, Detlef D. Nauck |
| 2009 | HAIS | Measuring and Visualising Similarity of Customer Satisfaction Profiles for Different Customer Segments. | Frank Klawonn, Detlef D. Nauck, Katharina Tschumitschew |
| 2007 | SGAI | Relevance Feedback for Association Rules by Leveraging Concepts from Information Retrieval. | Georg Ru, Detlef D. Nauck, Mirko Bttcher, Rudolf Kruse |
| 2006 | IDEAL | K Nearest Sequence Method and Its Application to Churn Prediction. | Dymitr Ruta, Detlef D. Nauck, Ben Azvine |
| 2006 | SGAI | Towards a Framework for Change Detection in Data Sets. | Mirko Bttcher, Detlef D. Nauck, Dymitr Ruta, Martin Spott |
| 2005 | ECSQARU | Automatic Selection of Data Analysis Methods. | Detlef D. Nauck, Martin Spott, Behnam Azvine |
| 2005 | ICMLA | Detecting temporally redundant association rules. | Mirko Bttcher, Martin Spott, Detlef D. Nauck |
| 2004 | ICDM | Dynamic Daily-Living Patterns and Association Analyses in Tele-Care Systems. | Beng-Seuk Lee, Trevor P. Martin, Nick P. Clarke, Basim A. Majeed, Detlef D. Nauck |
| 2000 | KES | Knowledge discovery with NEFCLASS. | Detlef D. Nauck |
| 1995 | SAC | NEFCLASSmdash;a neuro-fuzzy approach for the classification of data. | Detlef D. Nauck, Rudolf Kruse |
| 1991 | UAI | Reasoning with Mass Distributions. | Rudolf Kruse, Detlef D. Nauck, Frank Klawonn |