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Semantic ScholarRudolf Kruse
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- affiliation: Otto von Guericke University Magdeburg, Faculty of Computer Science
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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)- [c137]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 - [c136]Alexander Dockhorn, Tony Schwensfeier, Rudolf Kruse:
Fuzzy Multiset Clustering for Metagame Analysis. EUSFLAT Conf. 2019 - [p19]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) - [c135]Gabriella Pasi, Rudolf Kruse, Marco Viviani:
Introduction to the Minitrack on Soft Computing: Methods and Applications. HICSS 2018: 1 - [c134]Alexander Dockhorn, Max Frick, Ünal Akkaya, Rudolf Kruse:
Predicting Opponent Moves for Improving Hearthstone AI. IPMU (2) 2018: 621-632 - [c133]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 - [c132]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) - [c131]Alexander Dockhorn, Rudolf Kruse:
Combining cooperative and adversarial coevolution in the context of pac-man. CIG 2017: 60-67 - [c130]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 - [c129]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 - [c128]Alexander Dockhorn, Christoph Doell, Matthias Hewelt, Rudolf Kruse:
A decision heuristic for Monte Carlo tree search doppelkopf agents. SSCI 2017: 1-8 - [c127]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. Computers 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) - [c126]Pascal Held, Rudolf Kruse:
Detecting overlapping community hierarchies in dynamic graphs. ASONAM 2016: 1063-1070 - [c125]Pascal Held, Benjamin Krause, Rudolf Kruse:
Dynamic Clustering in Social Networks Using Louvain and Infomap Method. ENIC 2016: 61-68 - [c124]Rudolf Kruse, Gabriella Pasi, Jose Maria Alonso:
Introduction to the Soft Computing and Intelligent Data Analysis Minitrack. HICSS 2016: 1710 - [c123]Christian Braune, Marco Dankel, Rudolf Kruse:
Obtaining Shape Descriptors from a Concave Hull-Based Clustering Algorithm. IDA 2016: 61-72 - [c122]Pascal Held, Rudolf Kruse:
Online Fuzzy Community Detection by Using Nearest Hubs. IPMU (2) 2016: 678-689 - [c121]Tran Tuan Nguyen, Jens Spehr, Matthias Uhlemann, Sebastian Zug, Rudolf Kruse:
Learning of lane information reliability for intelligent vehicles. MFI 2016: 142-147 - [c120]Christian Borgelt, Rudolf Kruse:
Agglomerative Fuzzy Clustering. SMPS 2016: 69-77 - [c119]Fabian Schmidt, Jörg Gebhardt, Rudolf Kruse:
Detecting Inconsistencies in Revision Problems. SMPS 2016: 439-446 - [c118]Christian Braune, Rudolf Kruse:
Fuzzy density based clustering with generalized centroids. SSCI 2016: 1-7 - [c117]Alexander Dockhorn, Christian Braune, Rudolf Kruse:
Variable density based clustering. SSCI 2016: 1-8 - [c116]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. Informatik 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) - [c115]Roland Winkler, Frank Klawonn, Rudolf Kruse:
Prototype Based Fuzzy Clustering Algorithms in High-Dimensional Feature Spaces. A Passion for Fuzzy Sets 2015: 233-243 - [c114]Fabian Schmidt, Jörg Gebhardt, Rudolf Kruse:
Handling Revision Inconsistencies: Towards Better Explanations. ECSQARU 2015: 257-266 - [c113]Pascal Held, Alexander Dockhorn, Benjamin Krause, Rudolf Kruse:
Clustering Social Networks Using Competing Ant Hives. ENIC 2015: 67-74 - [c112]Christian Borgelt, Christian Braune, Kristian Loewe, Rudolf Kruse:
Mining Frequent Parallel Episodes with Selective Participation. IFSA-EUSFLAT 2015 - [c111]Rudolf Kruse, Gabriella Pasi, Jose Maria Alonso:
Introduction to the Soft Computing and Intelligent Data Analysis Minitrack. HICSS 2015: 1472-1473 - [c110]Christian Braune, Martin Glauer, Rudolf Kruse:
Towards Online Detection of Neural Assemblies in Parallel Spike Trains. HICSS 2015: 1503-1511 - [c109]Fabian Schmidt, Jörg Gebhardt, Rudolf Kruse:
Handling Revision Inconsistencies: Creating Useful Explanations. HICSS 2015: 3712-3718 - [c108]Pascal Held, Christian Braune, Rudolf Kruse:
Exploring dinofun park happenings. VAST 2015: 157-158 - [c107]Salatiel Ezennaya-Gomez, Christian Borgelt, Christian Braune, Kristian Loewe, Rudolf Kruse:
Handling Selective Participation in Neuron Assembly Detection. IJCCI (Selected Papers) 2015: 386-406 - [c106]Alexander Dockhorn, Christian Braune, Rudolf Kruse:
An Alternating Optimization Approach Based on Hierarchical Adaptations of DBSCAN. SSCI 2015: 749-755 - [c105]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 - [p18]Christian Moewes, Ralf Mikut, Rudolf Kruse:
Fuzzy Control. Handbook of Computational Intelligence 2015: 269-283 - [p17]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
- [c104]Pascal Held, Alexander Dockhorn, Rudolf Kruse:
On merging and dividing of Barabási-Albert-graphs. EALS 2014: 17-24 - [c103]Andreas Meier, Mark Gonter, Rudolf Kruse:
Symbolic Regression for Precrash Accident Severity Prediction. HAIS 2014: 133-144 - [c102]Rudolf Kruse:
Introduction to the Soft Computing and Intelligent Data Analysis Minitrack. HICSS 2014: 1334 - [c101]Pascal Held, Alexander Dockhorn, Rudolf Kruse:
Generating Events for Dynamic Social Network Simulations. IPMU (2) 2014: 46-55 - [c100]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) - [c99]Rudolf Kruse, Pascal Held, Christian Moewes:
On Fuzzy Data Analysis. On Fuzziness (1) 2013: 343-347 - [c98]Andreas Meier, Mark Gonter, Rudolf Kruse:
Accelerating convergence in cartesian genetic programming by using a new genetic operator. GECCO 2013: 981-988 - [c97]Fabian Schmidt, Jan Wendler, Jörg Gebhardt, Rudolf Kruse:
Handling Inconsistencies in the Revision of Probability Distributions. HAIS 2013: 598-607 - [c96]Rudolf Kruse:
Introduction to Soft Computing and Intelligent Data Analysis Minitrack. HICSS 2013: 1384 - [c95]Pascal Held, Rudolf Kruse:
Analysis and Visualization of Dynamic Clusterings. HICSS 2013: 1385-1393 - [c94]Christian Braune, Christian Borgelt, Rudolf Kruse:
Behavioral Clustering for Point Processes. IDA 2013: 127-137 - [c93]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 - [c92]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 - [c91]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 - [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 Nauck, Frank Klawonn:
Reasoning with Mass Distributions. CoRR abs/1303.5726 (2013) - 2012
- [c90]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 - [c89]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) - [c88]Roland Winkler, Frank Klawonn, Rudolf Kruse:
M-Estimator induced Fuzzy Clustering Algorithms. EUSFLAT Conf. 2011: 298-304 - [c87]Christian Moewes, Rudolf Kruse:
On the usefulness of fuzzy SVMs and the extraction of fuzzy rules from SVMs. EUSFLAT Conf. 2011: 943-948 - [c86]Georg Ruß, Rudolf Kruse:
Exploratory Hierarchical Clustering for Management Zone Delineation in Precision Agriculture. ICDM 2011: 161-173 - [c85]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) - [c84]Roland Winkler, Frank Klawonn, Rudolf Kruse:
Problems of Fuzzy c-Means Clustering and Similar Algorithms with High Dimensional Data Sets. GfKl 2010: 79-87 - [c83]Georg Ruß, Martin Schneider, Rudolf Kruse:
Hierarchical Spatial Clustering for Management Zone Delineation in Precision Agriculture. Industrial Conference on Data Mining - Workshops 2010: 95-104 - [c82]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). Automatisierungstechnik 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). Automatisierungstechnik 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. Engineering 56(3): 572-581 (2009) - [c81]Jörg Beyer, Kai Heesche, Werner Hauptmann, Clemens Otte, Rudolf Kruse:
Ensemble Learning for Multi-source Information Fusion. ECSQARU 2009: 748-756 - [c80]Matthias Steinbrecher, Rudolf Kruse:
Fuzzy Descriptions to Identify Temporal Substructure Changes of Cooccurrence Graphs. IFSA/EUSFLAT Conf. 2009: 1177-1182 - [c79]Matthias Steinbrecher, Rudolf Kruse:
Assessing the Strength of Structural Changes in Cooccurrence Graphs. KI 2009: 476-483 - [c78]Georg Ruß, Rudolf Kruse, Martin Schneider, Peter Wagner:
Visual Data Mining of Agriculture Data. MLDM Posters 2009: 30-44 - [c77]Mirko Böttcher, Martin Spott, Rudolf Kruse:
A Condensed Representation of Itemsets for Analyzing Their Evolution over Time. ECML/PKDD (1) 2009: 163-178 - [c76]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. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 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) - [c75]Matthias Steinbrecher, Rudolf Kruse:
Clustering Association Rules with Fuzzy Concepts. GfKl 2008: 197-205 - [c74]Roland Winkler, Frank Rehm, Rudolf Kruse:
Clustering with Repulsive Prototypes. GfKl 2008: 207-215 - [c73]Mirko Böttcher, Martin Spott, Rudolf Kruse:
Predicting Future Decision Trees from Evolving Data. ICDM 2008: 33-42 - [c72]Georg Ruß, Rudolf Kruse, Martin Schneider, Peter Wagner:
Estimation of Neural Network Parameters for Wheat Yield Prediction. IFIP AI 2008: 109-118 - [c71]Georg Ruß, Rudolf Kruse, Martin Schneider, Peter Wagner:
Data Mining with Neural Networks for Wheat Yield Prediction. ICDM 2008: 47-56 - [c70]Georg Ruß, Rudolf Kruse, Martin Schneider, Peter Wagner:
Visualization of Agriculture Data Using Self-Organizing Maps. SGAI Conf. (Applications) 2008: 47-60 - [c69]Mirko Böttcher, Martin Spott, Rudolf Kruse:
An Algorithm for Anticipating Future Decision Trees from Concept-Drifting Data. SGAI Conf. 2008: 293-306 - [c68]Christian Moewes, Clemens Otte, Rudolf Kruse:
Tackling Multiple-Instance Problems in Safety-Related Domains by Quasilinear SVM. SMPS 2008: 409-416 - [p9]Matthias Steinbrecher, Frank Rügheimer, Rudolf Kruse:
Application of Graphical Models in the Automotive Industry. Computational Intelligence in Automotive Applications 2008: 79-88 - [i1]Myra Spiliopoulou, Maurice van Keulen, Hans-Joachim Lenz, Jef Wijsen, Matthias Renz, Rudolf Kruse, Mirco Stern:
08421 Working Group: Imprecision, Diversity and Uncertainty: Disentangling Threads in Uncertainty Management. Uncertainty Management in Information Systems 2008 - 2007
- [j46]Frank Rehm, Frank Klawonn, Rudolf Kruse:
Visualization of Fuzzy Classifiers. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15(5): 615-624 (2007) - [j45]Ulrich Bodenhofer, Eyke Hüllermeier, Frank Klawonn, Rudolf Kruse:
Special Issue on Soft Computing for Information Mining. Soft Comput. 11(5): 397-399 (2007) - [j44]Xiaomeng Wang, Detlef D. Nauck, Martin Spott, Rudolf Kruse:
Intelligent data analysis with fuzzy decision trees. Soft Comput. 11(5): 439-457 (2007) - [j43]Frank Rehm, Frank Klawonn, Rudolf Kruse:
A Novel Approach to Noise Clustering for Outlier Detection. Soft Comput. 11(5): 489-494 (2007) - [c67]Steffen Kempe, Jochen Hipp, Rudolf Kruse:
FSMTree: An Efficient Algorithm for Mining Frequent Temporal Patterns. GfKl 2007: 253-260 - [c66]Siddeswara Mayura Guru, Matthias Steinbrecher, Saman K. Halgamuge, Rudolf Kruse:
Multiple Cluster Merging and Multihop Transmission in Wireless Sensor Networks. GPC 2007: 89-99 - [c65]Rudolf Kruse:
Probabilistic Graphical Models for Data Mining and Planning in Automotive Industry. ICTAI (1) 2007 - [c64]Matthias Steinbrecher, Rudolf Kruse:
Visualization of Possibilistic Potentials. IFSA (1) 2007: 295-303 - [c63]Georg Ruß, Detlef D. Nauck, Mirko Böttcher, Rudolf Kruse:
Relevance Feedback for Association Rules by Leveraging Concepts from Information Retrieval. SGAI Conf. 2007: 253-266 - 2006
- [b9]Kai Michels, Frank Klawonn, Rudolf Kruse, Andreas Nürnberger:
Fuzzy Control - Fundamentals, Stability and Design of Fuzzy Controllers.