default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDRudolf Kruse
Person information
- affiliation: Otto von Guericke University Magdeburg, Faculty of Computer Science
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[b12]Rudolf Kruse, Sanaz Mostaghim
, Christian Borgelt, Christian Braune, Matthias Steinbrecher:
Computational Intelligence - A Methodological Introduction, Third Edition. Texts in Computer Science, Springer 2022, ISBN 978-3-030-42226-4, pp. 1-625- [c141]Rudolf Kruse:
Probabilistic Graphical Models: On Reasoning, Learning, and Revision (Extended Abstract). KDIR 2022: 9-10 - [p23]Alexander Dockhorn, Rudolf Kruse:
Balancing Exploration and Exploitation in Forward Model Learning. Advances in Intelligent Systems Research and Innovation 2022: 1-19 - 2021
- [j68]Alexander Dockhorn, Rudolf Kruse:
Modellheuristiken für effizientes forward model learning. Autom. 69(10): 848-857 (2021) - [p22]Alexander Dockhorn, Chris Saxton, Rudolf Kruse:
Association Rule Mining for Unknown Video Games. Fuzzy Approaches for Soft Computing and Approximate Reasoning 2021: 257-270 - 2020
- [j67]Alexander Dockhorn, Rudolf Kruse:
Predicting Cards Using a Fuzzy Multiset Clustering of Decks. Int. J. Comput. Intell. Syst. 13(1): 1207-1217 (2020) - [c140]Alexander Dockhorn, Rudolf Kruse:
Forward Model Learning for Motion Control Tasks. IEEE Conf. on Intelligent Systems 2020: 1-5 - [p21]Christian Borgelt, Christian Braune, Rudolf Kruse:
Unsicheres, impräzises und unscharfes Wissen. Handbuch der Künstlichen Intelligenz 2020: 279-342 - [e17]Vassil Sgurev, Vladimir Jotsov, Rudolf Kruse, Mincho Hadjiski:
10th IEEE International Conference on Intelligent Systems, IS 2020, Varna, Bulgaria, August 28-30, 2020. IEEE 2020, ISBN 978-1-7281-5456-5 [contents]
2010 – 2019
- 2019
- [j66]Inés Couso, Christian Borgelt, Eyke Hüllermeier, Rudolf Kruse:
Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning. IEEE Comput. Intell. Mag. 14(1): 31-44 (2019) - [c139]Simon M. Lucas, Alexander Dockhorn, Vanessa Volz, Chris Bamford, Raluca D. Gaina, Ivan Bravi, Diego Pérez-Liébana, Sanaz Mostaghim, Rudolf Kruse:
A Local Approach to Forward Model Learning: Results on the Game of Life Game. CoG 2019: 1-8 - [c138]Alexander Dockhorn, Tony Schwensfeier, Rudolf Kruse:
Fuzzy Multiset Clustering for Metagame Analysis. EUSFLAT Conf. 2019 - [p20]Tran Tuan Nguyen, Jan-Ole Perschewski, Fabian Engel, Jonas Kruesemann, Jonas Sitzmann, Jens Spehr, Sebastian Zug, Rudolf Kruse:
Reliability-Aware and Robust Multi-sensor Fusion Toward Ego-Lane Estimation Using Artificial Neural Networks. Information Quality in Information Fusion and Decision Making 2019: 423-454 - [i5]Simon M. Lucas, Alexander Dockhorn, Vanessa Volz, Chris Bamford, Raluca D. Gaina, Ivan Bravi, Diego Pérez-Liébana, Sanaz Mostaghim, Rudolf Kruse:
A Local Approach to Forward Model Learning: Results on the Game of Life Game. CoRR abs/1903.12508 (2019) - 2018
- [j65]Tran Tuan Nguyen, Jens Spehr, Sebastian Zug, Rudolf Kruse:
Multisource Fusion for Robust Road Detection Using Online Estimated Reliabilities. IEEE Trans. Ind. Informatics 14(11): 4927-4939 (2018) - [c137]Gabriella Pasi, Rudolf Kruse, Marco Viviani:
Introduction to the Minitrack on Soft Computing: Methods and Applications. HICSS 2018: 1 - [c136]Alexander Dockhorn, Max Frick, Ünal Akkaya, Rudolf Kruse:
Predicting Opponent Moves for Improving Hearthstone AI. IPMU (2) 2018: 621-632 - [c135]Tran Tuan Nguyen, Jens Spehr, Dominik Vock, Marcus Baum, Sebastian Zug, Rudolf Kruse:
A General Reliability-Aware Fusion Concept Using DST and Supervised Learning with Its Applications in Multi-Source Road Estimation. Intelligent Vehicles Symposium 2018: 597-604 - [c134]Alexander Dockhorn, Tim Tippelt, Rudolf Kruse:
Model Decomposition for Forward Model Approximation. SSCI 2018: 1751-1757 - 2017
- [j64]Richard Weber, Cristián Bravo, Rudolf Kruse, Sebastián Maldonado:
Special issue "Applied soft computing for business analytics". Appl. Soft Comput. 60: 750-751 (2017) - [c133]Alexander Dockhorn, Rudolf Kruse:
Combining cooperative and adversarial coevolution in the context of pac-man. CIG 2017: 60-67 - [c132]Tran Tuan Nguyen, Jens Spehr, Jian Xiong, Marcus Baum, Sebastian Zug, Rudolf Kruse:
Online reliability assessment and reliability-aware fusion for Ego-Lane detection using influence diagram and Bayes filter. MFI 2017: 7-14 - [c131]Tran Tuan Nguyen, Jens Spehr, Jian Xiong, Marcus Baum, Sebastian Zug, Rudolf Kruse:
A survey of performance measures to evaluate ego-lane estimation and a novel sensor-independent measure along with its applications. MFI 2017: 239-246 - [c130]Alexander Dockhorn, Christoph Doell, Matthias Hewelt, Rudolf Kruse:
A decision heuristic for Monte Carlo tree search doppelkopf agents. SSCI 2017: 1-8 - [c129]Tim Sabsch, Christian Braune, Alexander Dockhorn, Rudolf Kruse:
Using a multiobjective genetic algorithm for curve approximation. SSCI 2017: 1-6 - 2016
- [b11]Rudolf Kruse, Christian Borgelt, Christian Braune, Sanaz Mostaghim, Matthias Steinbrecher:
Computational Intelligence - A Methodological Introduction, Second Edition. Texts in Computer Science, Springer 2016, ISBN 978-1-4471-7294-9, pp. 1-551 - [j63]Christoph Reichert, Stefan Dürschmid, Rudolf Kruse, Hermann Hinrichs:
An Efficient Decoder for the Recognition of Event-Related Potentials in High-Density MEG Recordings. Comput. 5(2): 5 (2016) - [j62]Kristian Loewe, Sarah E. Donohue, Mircea Ariel Schoenfeld, Rudolf Kruse, Christian Borgelt:
Memory-Efficient Analysis of Dense Functional Connectomes. Frontiers Neuroinformatics 10: 50 (2016) - [c128]Pascal Held, Rudolf Kruse:
Detecting overlapping community hierarchies in dynamic graphs. ASONAM 2016: 1063-1070 - [c127]Pascal Held, Benjamin Krause, Rudolf Kruse:
Dynamic Clustering in Social Networks Using Louvain and Infomap Method. ENIC 2016: 61-68 - [c126]Rudolf Kruse, Gabriella Pasi, José Maria Alonso:
Introduction to the Soft Computing and Intelligent Data Analysis Minitrack. HICSS 2016: 1710 - [c125]Christian Braune, Marco Dankel, Rudolf Kruse:
Obtaining Shape Descriptors from a Concave Hull-Based Clustering Algorithm. IDA 2016: 61-72 - [c124]Pascal Held, Rudolf Kruse:
Online Fuzzy Community Detection by Using Nearest Hubs. IPMU (2) 2016: 678-689 - [c123]Tran Tuan Nguyen, Jens Spehr, Matthias Uhlemann, Sebastian Zug, Rudolf Kruse:
Learning of lane information reliability for intelligent vehicles. MFI 2016: 142-147 - [c122]Christian Borgelt, Rudolf Kruse:
Agglomerative Fuzzy Clustering. SMPS 2016: 69-77 - [c121]Fabian Schmidt, Jörg Gebhardt, Rudolf Kruse:
Detecting Inconsistencies in Revision Problems. SMPS 2016: 439-446 - [c120]Christian Braune, Rudolf Kruse:
Fuzzy density based clustering with generalized centroids. SSCI 2016: 1-7 - [c119]Alexander Dockhorn, Christian Braune, Rudolf Kruse:
Variable density based clustering. SSCI 2016: 1-8 - [c118]Fabian Schmidt, Jörg Gebhardt, Rudolf Kruse:
Decomposable Graphical Models on Learning, Fusion and Revision. WCSC 2016: 439-452 - [i4]Pascal Held, Rudolf Kruse:
Online Community Detection by Using Nearest Hubs. CoRR abs/1601.06527 (2016) - [i3]Pascal Held, Benjamin Krause, Rudolf Kruse:
Dynamic Clustering in Social Networks using Louvain and Infomap Method. CoRR abs/1603.02413 (2016) - 2015
- [j61]Frank Klawonn, Rudolf Kruse, Roland Winkler:
Fuzzy clustering: More than just fuzzification. Fuzzy Sets Syst. 281: 272-279 (2015) - [j60]Christian Borgelt, Rudolf Kruse:
Bedeutung von Zugehörigkeitsgraden in der Fuzzy-Technologie. Inform. Spektrum 38(6): 490-499 (2015) - [j59]Pascal Held, Alexander Dockhorn, Rudolf Kruse:
On Merging and Dividing Social Graphs. J. Artif. Intell. Soft Comput. Res. 5(1): 23 (2015) - [c117]Roland Winkler, Frank Klawonn, Rudolf Kruse:
Prototype Based Fuzzy Clustering Algorithms in High-Dimensional Feature Spaces. A Passion for Fuzzy Sets 2015: 233-243 - [c116]Fabian Schmidt, Jörg Gebhardt, Rudolf Kruse:
Handling Revision Inconsistencies: Towards Better Explanations. ECSQARU 2015: 257-266 - [c115]Pascal Held, Alexander Dockhorn, Benjamin Krause, Rudolf Kruse:
Clustering Social Networks Using Competing Ant Hives. ENIC 2015: 67-74 - [c114]Christian Borgelt, Christian Braune, Kristian Loewe, Rudolf Kruse:
Mining Frequent Parallel Episodes with Selective Participation. IFSA-EUSFLAT 2015 - [c113]Rudolf Kruse, Gabriella Pasi, José Maria Alonso:
Introduction to the Soft Computing and Intelligent Data Analysis Minitrack. HICSS 2015: 1472-1473 - [c112]Christian Braune, Martin Glauer, Rudolf Kruse:
Towards Online Detection of Neural Assemblies in Parallel Spike Trains. HICSS 2015: 1503-1511 - [c111]Fabian Schmidt, Jörg Gebhardt, Rudolf Kruse:
Handling Revision Inconsistencies: Creating Useful Explanations. HICSS 2015: 3712-3718 - [c110]Pascal Held, Christian Braune, Rudolf Kruse:
Exploring dinofun park happenings. VAST 2015: 157-158 - [c109]Salatiel Ezennaya-Gomez, Christian Borgelt, Christian Braune, Kristian Loewe, Rudolf Kruse:
Handling Selective Participation in Neuron Assembly Detection. IJCCI (Selected Papers) 2015: 386-406 - [c108]Alexander Dockhorn, Christian Braune, Rudolf Kruse:
An Alternating Optimization Approach Based on Hierarchical Adaptations of DBSCAN. SSCI 2015: 749-755 - [c107]Raphael Moura, Christoph Doell, Michael Beer, Rudolf Kruse:
A Clustering Approach to a Major-Accident Data Set: Analysis of Key Interactions to Minimise Human Errors. SSCI 2015: 1838-1843 - [p19]Christian Moewes, Ralf Mikut, Rudolf Kruse:
Fuzzy Control. Handbook of Computational Intelligence 2015: 269-283 - [p18]Christian Borgelt, Christian Braune, Marie-Jeanne Lesot, Rudolf Kruse:
Handling Noise and Outliers in Fuzzy Clustering. Fifty Years of Fuzzy Logic and its Applications 2015: 315-335 - 2014
- [c106]Pascal Held, Alexander Dockhorn, Rudolf Kruse:
On merging and dividing of Barabási-Albert-graphs. EALS 2014: 17-24 - [c105]Andreas Meier, Mark Gonter, Rudolf Kruse:
Symbolic Regression for Precrash Accident Severity Prediction. HAIS 2014: 133-144 - [c104]Rudolf Kruse:
Introduction to the Soft Computing and Intelligent Data Analysis Minitrack. HICSS 2014: 1334 - [c103]Pascal Held, Alexander Dockhorn, Rudolf Kruse:
Generating Events for Dynamic Social Network Simulations. IPMU (2) 2014: 46-55 - [c102]Christian Braune, Stephan Besecke, Rudolf Kruse:
Using Changes in Distribution to Identify Synchronized Point Processes. SMPS 2014: 241-248 - 2013
- [b10]Rudolf Kruse, Christian Borgelt, Frank Klawonn, Christian Moewes, Matthias Steinbrecher, Pascal Held:
Computational Intelligence - A Methodological Introduction. Texts in Computer Science, Springer 2013, ISBN 978-1-4471-5012-1, pp. I-XI, 1-490 - [j58]María Angeles Gil, Gil González-Rodríguez, Rudolf Kruse:
Editorial of the special issue "Statistics with Imperfect Data". Inf. Sci. 245: 1-3 (2013) - [c101]Rudolf Kruse, Pascal Held, Christian Moewes:
On Fuzzy Data Analysis. On Fuzziness (1) 2013: 343-347 - [c100]Andreas Meier, Mark Gonter, Rudolf Kruse:
Accelerating convergence in cartesian genetic programming by using a new genetic operator. GECCO 2013: 981-988 - [c99]Fabian Schmidt, Jan Wendler, Jörg Gebhardt, Rudolf Kruse:
Handling Inconsistencies in the Revision of Probability Distributions. HAIS 2013: 598-607 - [c98]Rudolf Kruse:
Introduction to Soft Computing and Intelligent Data Analysis Minitrack. HICSS 2013: 1384 - [c97]Pascal Held, Rudolf Kruse:
Analysis and Visualization of Dynamic Clusterings. HICSS 2013: 1385-1393 - [c96]Christian Braune, Christian Borgelt, Rudolf Kruse:
Behavioral Clustering for Point Processes. IDA 2013: 127-137 - [c95]Christian Moewes, Rudolf Kruse:
The Effects of Edge Weights on Correlating Dynamical Networks - Comparing Unweighted and Weighted Brain Graphs of nervus opticus Patients. IJCCI 2013: 279-284 - [c94]Christoph Reichert, Matthias Kennel, Rudolf Kruse, Hans-Jochen Heinze, Ulrich Schmucker, Hermann Hinrichs, Jochem W. Rieger:
Robotic Grasp Initiation by Gaze Independent Brain-controlled Selection of Virtual Reality Objects. NEUROTECHNIX 2013: 5-12 - [c93]Christoph Reichert, Matthias Kennel, Rudolf Kruse, Hermann Hinrichs, Jochem W. Rieger:
Efficiency of SSVEF Recognition from the Magnetoencephalogram - A Comparison of Spectral Feature Classification and CCA-based Prediction. NEUROTECHNIX 2013: 233-237 - [p17]Christian Borgelt, Christian Braune, Heiko Timm, Rudolf Kruse:
Unsicheres und vages Wissen. Handbuch der Künstlichen Intelligenz 2013: 235-296 - [p16]Roland Winkler, Frank Klawonn, Rudolf Kruse:
A New Distance Function for Prototype Based Clustering Algorithms in High Dimensional Spaces. Statistical Models for Data Analysis 2013: 371-378 - [p15]Christian Moewes, Rudolf Kruse:
Evolutionary Fuzzy Rules for Ordinal Binary Classification with Monotonicity Constraints. Soft Computing: State of the Art Theory and Novel Applications 2013: 105-112 - [e16]Rudolf Kruse, Michael R. Berthold, Christian Moewes, María Angeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz:
Synergies of Soft Computing and Statistics for Intelligent Data Analysis, Proceedings of the 6th International Conference on Soft Methods in Probability and Statistics, SMPS 2012, Konstanz, Germany, October 4-6, 2012. Advances in Intelligent Systems and Computing 190, Springer 2013, ISBN 978-3-642-33041-4 [contents] - [i2]Rudolf Kruse, Detlef D. Nauck, Frank Klawonn:
Reasoning with Mass Distributions. CoRR abs/1303.5726 (2013) - 2012
- [c92]Günther Stiege, Horst Langendörfer, Rudolf Kruse, Martina Zitterbart, Stefan Fischer, Lars C. Wolf, Michael Beigl, Rüdiger Kapitza:
Betriebssysteme und Rechnerverbund. 40 Jahre Informatik @ Braunschweig 2012: 62-75 - [c91]Christian Moewes, Rudolf Kruse, Bernhard A. Sabel:
Analysis of Dynamic Brain Networks Using VAR Models. SMPS 2012: 525-532 - [p14]Christian Moewes, Rudolf Kruse:
Fuzzy Control for Knowledge-Based Interpolation. Combining Experimentation and Theory 2012: 91-101 - 2011
- [j57]Rudolf Kruse, Michael Beer, Lotfi A. Zadeh:
Introduction. Integr. Comput. Aided Eng. 18(3): 201-202 (2011) - [j56]Roland Winkler, Frank Klawonn, Rudolf Kruse:
Fuzzy c-means in High Dimensional Spaces. Int. J. Fuzzy Syst. Appl. 1(1): 1-16 (2011) - [c90]Roland Winkler, Frank Klawonn, Rudolf Kruse:
M-Estimator induced Fuzzy Clustering Algorithms. EUSFLAT Conf. 2011: 298-304 - [c89]Christian Moewes, Rudolf Kruse:
On the usefulness of fuzzy SVMs and the extraction of fuzzy rules from SVMs. EUSFLAT Conf. 2011: 943-948 - [c88]Georg Ruß, Rudolf Kruse:
Exploratory Hierarchical Clustering for Management Zone Delineation in Precision Agriculture. ICDM 2011: 161-173 - [c87]Georg Ruß, Rudolf Kruse:
Machine Learning Methods for Spatial Clustering on Precision Agriculture Data. SCAI 2011: 40-49 - [p13]Radim Belohlávek, Rudolf Kruse, Christian Moewes:
Fuzzy Logic in Computer Science. Computer Science, The Hardware, Software and Heart of It 2011: 385-419 - 2010
- [j55]Radim Belohlávek, Rudolf Kruse:
Editor's foreword. J. Comput. Syst. Sci. 76(1): 1-2 (2010) - [j54]Matthias Steinbrecher, Rudolf Kruse:
Visualizing and fuzzy filtering for discovering temporal trajectories of association rules. J. Comput. Syst. Sci. 76(1): 77-87 (2010) - [c86]Roland Winkler, Frank Klawonn, Rudolf Kruse:
Problems of Fuzzy c-Means Clustering and Similar Algorithms with High Dimensional Data Sets. GfKl 2010: 79-87 - [c85]Georg Ruß, Martin Schneider, Rudolf Kruse:
Hierarchical Spatial Clustering for Management Zone Delineation in Precision Agriculture. ICDM (Workshops) 2010: 95-104 - [c84]Georg Ruß, Rudolf Kruse:
Regression Models for Spatial Data: An Example from Precision Agriculture. ICDM 2010: 450-463 - [p12]Jörg Beyer, Kai Heesche, Werner Hauptmann, Clemens Otte, Rudolf Kruse:
Ensemble Learning for Multi-source Information Fusion. Intelligent Autonomous Systems 2010: 123-141 - [e15]Eyke Hüllermeier, Rudolf Kruse, Frank Hoffmann:
Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods - 13th International Conference, IPMU 2010, Dortmund, Germany, June 28 - July 2, 2010. Proceedings, Part I. Communications in Computer and Information Science 80, Springer 2010, ISBN 978-3-642-14054-9 [contents] - [e14]Eyke Hüllermeier, Rudolf Kruse, Frank Hoffmann:
Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications - 13th International Conference, IPMU 2010, Dortmund, Germany, June 28 - July 2, 2010. Proceedings, Part II. Communications in Computer and Information Science 81, Springer 2010, ISBN 978-3-642-14057-0 [contents] - [e13]Eyke Hüllermeier, Rudolf Kruse, Frank Hoffmann:
Computational Intelligence for Knowledge-Based Systems Design, 13th International Conference on Information Processing and Management of Uncertainty, IPMU 2010, Dortmund, Germany, June 28 - July 2, 2010. Proceedings. Lecture Notes in Computer Science 6178, Springer 2010, ISBN 978-3-642-14048-8 [contents]
2000 – 2009
- 2009
- [j53]Sebastian Nusser, Clemens Otte, Werner Hauptmann, Oskar Leirich, Manfred Krätschmer, Rudolf Kruse:
Maschinelles Lernen von validierbaren Klassifikatoren zur autonomen Steuerung sicherheitsrelevanter Systeme (Machine Learning of Verifiable Classifiers for Autonomous Control of Safety-related Systems). Autom. 57(3): 138-145 (2009) - [j52]Christian Moewes, Rudolf Kruse:
Zuordnen von linguistischen Ausdrücken zu Motiven in Zeitreihen (Matching of Labeled Terms to Time Series Motifs). Autom. 57(3): 146-154 (2009) - [j51]Mirko Böttcher, Martin Spott, Detlef D. Nauck, Rudolf Kruse:
Mining changing customer segments in dynamic markets. Expert Syst. Appl. 36(1): 155-164 (2009) - [j50]Tobias Günther, Iris Mueller, Markus Preuss, Rudolf Kruse, Bernhard A. Sabel:
A Treatment Outcome Prediction Model of Visual Field Recovery Using Self-Organizing Maps. IEEE Trans. Biomed. Eng. 56(3): 572-581 (2009) - [c83]Jörg Beyer, Kai Heesche, Werner Hauptmann, Clemens Otte, Rudolf Kruse:
Ensemble Learning for Multi-source Information Fusion. ECSQARU 2009: 748-756 - [c82]Matthias Steinbrecher, Rudolf Kruse:
Fuzzy Descriptions to Identify Temporal Substructure Changes of Cooccurrence Graphs. IFSA/EUSFLAT Conf. 2009: 1177-1182 - [c81]Matthias Steinbrecher, Rudolf Kruse:
Assessing the Strength of Structural Changes in Cooccurrence Graphs. KI 2009: 476-483 - [c80]Georg Ruß, Rudolf Kruse, Martin Schneider, Peter Wagner:
Visual Data Mining of Agriculture Data. MLDM Posters 2009: 30-44 - [c79]Mirko Böttcher, Martin Spott, Rudolf Kruse:
A Condensed Representation of Itemsets for Analyzing Their Evolution over Time. ECML/PKDD (1) 2009: 163-178 - [c78]Georg Ruß, Rudolf Kruse:
Feature Selection for Wheat Yield Prediction. SGAI Conf. 2009: 465-478 - [p11]Roland Winkler, Frank Klawonn, Frank Höppner, Rudolf Kruse:
Fuzzy Cluster Analysis of Larger Data Sets. Scalable Fuzzy Algorithms for Data Management and Analysis 2009: 302-331 - [p10]Frank Rehm, Roland Winkler, Rudolf Kruse:
Fuzzy Clustering with Repulsive Prototypes. Scalable Fuzzy Algorithms for Data Management and Analysis 2009: 332-346 - [r1]Frank Rehm, Frank Klawonn, Rudolf Kruse:
Visualization of High-Dimensional Data with Polar Coordinates. Encyclopedia of Data Warehousing and Mining 2009: 2062-2067 - 2008
- [j49]Steffen Kempe, Jochen Hipp, Carsten Lanquillon, Rudolf Kruse:
Mining Frequent Temporal Patterns in Interval Sequences. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 16(5): 645-661 (2008) - [j48]Jochem W. Rieger, Christoph Reichert, Karl R. Gegenfurtner, Tömme Noesselt, Christoph Braun, Hans-Jochen Heinze, Rudolf Kruse, Hermann Hinrichs:
Predicting the recognition of natural scenes from single trial MEG recordings of brain activity. NeuroImage 42(3): 1056-1068 (2008) - [j47]Rudolf Kruse:
Fuzzy neural network. Scholarpedia 3(11): 6043 (2008) - [c77]Matthias Steinbrecher, Rudolf Kruse:
Clustering Association Rules with Fuzzy Concepts. GfKl 2008: 197-205 - [c76]Roland Winkler, Frank Rehm, Rudolf Kruse:
Clustering with Repulsive Prototypes. GfKl 2008: 207-215 - [c75]Mirko Böttcher, Martin Spott, Rudolf Kruse:
Predicting Future Decision Trees from Evolving Data. ICDM 2008: 33-42 - [c74]