| Neuro–fuzzy systems D Nauck, R Kruse Handbook of Fuzzy Computation, 319-D2. 10: 2, 2020 | 1593* | 2020 |
| Advances in Intelligent Data Analysis V: 5th International Symposium on Intelligent Data Analysis, IDA 2003, Berlin, Germany, August 28-30, 2003, Proceedings MR Berthold, HJ Lenz, E Bradley, R Kruse, C Borgelt Springer, 2003 | 1146* | 2003 |
| Computational intelligence R Kruse, C Borgelt, C Braune, S Mostaghim, M Steinbrecher, F Klawonn, ... Vieweg+ Teubner Verlag, 2011 | 766 | 2011 |
| Efficient implementations of apriori and eclat C Borgelt Proceedings of the IEEE ICDM Workshop on Frequent Itemset Mining …, 2003 | 677 | 2003 |
| Mining molecular fragments: Finding relevant substructures of molecules C Borgelt, MR Berthold 2002 IEEE International Conference on Data Mining, 2002. Proceedings., 51-58, 2002 | 658 | 2002 |
| An Implementation of FP-Growth Algorithm C Borgelt Viewed, 2010 | 561* | 2010 |
| Induction of association rules: Apriori implementation C Borgelt, R Kruse Proceedings of the 15th Conference on Computational Statistics, 395-400, 2002 | 494 | 2002 |
| Frequent item set mining C Borgelt Wiley interdisciplinary reviews: data mining and knowledge discovery 2 (6 …, 2012 | 448 | 2012 |
| Graphical models: representations for learning, reasoning and data mining C Borgelt, M Steinbrecher, RR Kruse Wiley, 2009 | 425* | 2009 |
| Guide to intelligent data analysis: how to intelligently make sense of real data M Berthold, C Borgelt, F Höppner, F Klawonn Springer, 2010 | 323 | 2010 |
| An extension to possibilistic fuzzy cluster analysis H Timm, C Borgelt, C Döring, R Kruse Fuzzy Sets and systems 147 (1), 3-16, 2004 | 268 | 2004 |
| Multi-layer perceptrons R Kruse, S Mostaghim, C Borgelt, C Braune, M Steinbrecher Computational intelligence: a methodological introduction, 53-124, 2022 | 191 | 2022 |
| Keeping things simple: finding frequent item sets by recursive elimination C Borgelt Proceedings of the 1st international workshop on open source data mining …, 2005 | 136 | 2005 |
| Possibilistic graphical models C Borgelt, J Gebhardt, R Kruse Computational Intelligence in Data Mining, 51-67, 2000 | 122 | 2000 |
| Neuro-Fuzzy-Systeme: Von den Grundlagen künstlicher Neuronaler Netze zur Kopplung mit Fuzzy-Systemen. 3 C Borgelt, F Klawonn, R Kruse, D Nauck Aufl. Wiesbaden: Vieweg, 2003 | 120* | 2003 |
| Support computation for mining frequent subgraphs in a single graph M Fiedler, C Borgelt Proc. 5th Int. Workshop on Mining and Learning with Graphs (MLG 2007 …, 2007 | 92 | 2007 |
| Moss: a program for molecular substructure mining C Borgelt, T Meinl, M Berthold Proceedings of the 1st international workshop on open source data mining …, 2005 | 90 | 2005 |
| Canonical forms for frequent graph mining C Borgelt Advances in Data Analysis, 337-349, 2007 | 89 | 2007 |
| Recursion pruning for the apriori algorithm C Borgelt Proc. 2nd IEEE ICDM Workshop on Frequent Item Set Mining Implementations …, 2004 | 83 | 2004 |
| Prototype-based classification and clustering C Borgelt Magdeburg, Univ., Habil.-Schr., 2006, 2005 | 81 | 2005 |
