2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 1994

Types of Publications:
Journal Articles
Books or Edited Volumes
Book Chapters
Conference Articles
PhD Thesis
Technical Reports

2009
	Nicolas Cebron, Michael R. Berthold, Active Learning for Object Classification: From Exploration to Exploitation, Data Mining and Knowledge Discovery, vol. 18, no. 2, pp. 283-299 [PDF] [BibTeX]
	Christian Borgelt, Thorsten Meinl, Full Perfect Extension Pruning for Frequent Subgraph Mining , In Mining Complex Data, Djamel A. Zighed, Shusaku Tsumoto, Zbigniew W. Ras, Hakim Hacid (eds), vol. 165, pp. 189-205, Springer-Verlag [BibTeX]
	Tobias Werth, Marc Wörlein, Alexander Dreweke, Ingrid Fischer, Michael Philippsen, DAG Mining for Code Compaction, In Data Mining for Business Applications, Longbing Cao, Philip S. Yu, Chengqi Zhang, Huaifeng Zhang (eds), pp. 209-224, Springer [BibTeX]
	Vimla L. Patel, Edward H. Shortliffe, Mario Stefanelli, Peter Szolovits, Michael R. Berthold, Riccardo Bellazzi, Ameen Abu-Hanna, The coming of age of artificial intelligence in medicine (Position Paper), Artificial Intelligence in Medicine, vol. 46, pp. 5-17, Elsevier B.V. [BibTeX]
	Michael Zeller, Robert Grossman, Christoph Lingenfelder, Michael R. Berthold, Erik Marcadé, Rick Pechter, Mike Hoskins, Wayne Thompson, Rich Holada, Open Standards and Cloud Computing (Panel Report), Proceedings of the 15th ACM SIGKDD (International Conference on Knowledge Discovery and Data Mining, Paris, France), pp. 11-18, ACM [BibTeX]
	Thomas R. Gabriel, Kilian Thiel, Michael R. Berthold, Multi-Dimensional Scaling applied to Hierarchical Rule Systems, Proceedings of the IFSA World Congress and the 6th Conference of EUSFLAT (Portugal, Lisbon), pp. 944-949 [PDF] [BibTeX]
	Michael R. Berthold, Ulrik Brandes, Tobias Kötter, Martin Mader, Uwe Nagel, Kilian Thiel, Pure Spreading Activation is Pointless, Proceedings of the CIKM the 18th Conference on Information and Knowledge Management (Hong Kong, China), pp. 1915-1919 [PDF] [BibTeX]
2008
	Michael R. Berthold, Fabian Dill, Tobias Kötter, Kilian Thiel, Supporting Creativity: Towards Associative Discovery of New Insights, Proceedings of PAKDD 2008 (The Pacific-Asia Conference on Knowledge Discovery and Data Mining, Osaka, Japan) [PDF] [BibTeX]
	Nicolas Cebron, Michael R. Berthold, Adaptive prototype-based fuzzy classification, Fuzzy Sets and Systems , vol. 159, no. 21, pp. 2806-2818 , Elsevier B.V. [PDF] [BibTeX]
	Ingrid Fischer, Thorsten Meinl, Subgraph Mining, In Encyclopedia of data warehousing and mining, John Wang (eds), 2 edition, pp. 1865-1870, IGI Global [BibTeX]
	Ingrid Fischer, Graph Transformations and Neural Networks, In Encyclopedia of Data Warehousing and Mining, John Wang (eds), 2. edition, pp. 534-539, IGI Global [BibTeX]
	Tobias Werth, Alexander Dreweke, Marc Wörlein, Ingrid Fischer, Michael Philippsen, DAGMA: Mining Directed Acyclic Graphs, Proceedings of the ECDM 2008 (IADIS European Conference on Data Mining (ECDM) , Amsterdam, The Netherlands), IADIS (eds), pp. 11-17, IADIS PRESS [PDF] [BibTeX]
	Tobias Werth, Alexander Dreweke, Marc Wörlein, Ingrid Fischer, Text Mining in Program Code, In Handbook of Research on Text and Web Mining Technologies, Min Song, Yi-Fang Brook Wu (eds), pp. 626-645, IGI Global [BibTeX]
	Discovery Science, Jean-Francois Boulicaut, Michael R. Berthold, Tamas Horvath (eds), vol. 5255, Lecture Notes in Artificial Intelligence, LNAI, Springer Verlag [BibTeX]
	Nicolas Cebron, Aktives Lernen zur Klassifikation großer Datenmengen mittels Exploration und Spezialisierung [PDF] [BibTeX]
2007
	Bernd Wiswedel, Michael R. Berthold, Fuzzy Clustering in Parallel Universes, International Journal of Approximate Reasoning, vol. 45, no. 3, pp. 439-454 [PDF] [BibTeX]
	Bernd Wiswedel, David E. Patterson, Michael R. Berthold, Interactive Exploration of Fuzzy Clusters, In Advances in Fuzzy Clustering and its Applications, Jose Valente de Oliveira, Witold Pedrycz (eds), pp. 123-136, John Wiley and Sons [BibTeX]
	Giuseppe Di Fatta, Michael R. Berthold, Decentralized load balancing for highly irregular search problems, Microprocessors and Microsystems, vol. 31, pp. 273-281, Elsevier [BibTeX]
	Christoph Sieb, Thorsten Meinl, Michael R. Berthold, Parallel and Distributed Data Pipelining with KNIME, The Mediterranean Journal of Computers and Networks, vol. 3, no. 2, pp. 43-51, SoftMotor Ltd. [PDF] [BibTeX]
	Proceedings of the 2007 Annual Meeting of the North American Fuzzy Information Processing Society, Marek Reformat, Michael R. Berthold (eds), IEEE Press [BibTeX]
	Kilian Thiel, Fabian Dill, Tobias Kötter, Michael R. Berthold, Towards Visual Exploration of Topic Shifts, IEEE International Conference on Systems, Man and Cybernetics (Montreal, QC, Canada) [PDF] [BibTeX]
	Sylvia Weber Russell, Ingrid Fischer, Ricarda Dormeyer, The Cat and the Brocaded Bag: Using Metaphor Analysis to Computationally Process Creatively Modified Idioms, The 4th International Workshop on Natural Language Processing and Cognitive Science (NLPCS) (Funchal, Portugal), B. Sharp, M. Zock (eds), pp. 27-37, INSTICC Press [PDF] [BibTeX]
	Alexander Dreweke, Marc Wörlein, Ingrid Fischer, Dominic Schell, Thorsten Meinl, Michael Philippsen, Graph-Based Procedural Abstraction, Proceedings of the 2007 CGO (Fifth International Symposium on Code Generation and Optimization, San Jose, CA, USA), pp. 259-270, IEEE Computer Society [PDF] [BibTeX]
	Nicolas Cebron, Michael R. Berthold, An Adaptive Multi Objective Selection Strategy for Active Learning [PDF] [BibTeX]
	Michael R. Berthold, Nicolas Cebron, Fabian Dill, Thomas R. Gabriel, Tobias Kötter, Thorsten Meinl, Peter Ohl, Christoph Sieb, Kilian Thiel, Bernd Wiswedel, KNIME: The Konstanz Information Miner, Studies in Classification, Data Analysis, and Knowledge Organization (GfKL 2007, Freiburg, Germany), Springer [PDF] [BibTeX]
	Michael R. Berthold, Nicolas Cebron, Fabian Dill, Thomas R. Gabriel, Tobias Kötter, Thorsten Meinl, Peter Ohl, Christoph Sieb, Kilian Thiel, Bernd Wiswedel, Open Source Data Pipelining für Interaktive Datenexploration, Aktuelle Trends in der Softwareforschung (do it.software-forschungstag 2007, Fellbach, Germany), MFG Stiftung Baden-Württemberg [PDF] [BibTeX]
	Thorsten Meinl, Marc Wörlein, Olga Urzova, Ingrid Fischer, Michael Philippsen, The ParMol Package for Frequent Subgraph Mining, Electronic Communications of the EASST, vol. 1, pp. 1-12 [PDF] [BibTeX]
	Advances in Intelligent Data Analysis VII, Michael R. Berthold, John Shawe-Taylor, Nada Lavrac (eds), vol. 4723, Lecture Notes in Computer Science LNCS, Springer-Verlag [BibTeX]
	CompLife 2007, Arno Siebes, Michael R. Berthold, Ad Feelders, Robert Glen (eds), American Institute of Physics [BibTeX]
	Michael R. Berthold, Bernd Wiswedel, Learning in Parallel Universes, Parallel Universes and Local Patterns, no. 7181, Michael R. Berthold, Katharina Morik, Arno Siebes (eds), Dagstuhl Seminar Proceedings, Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany, [Dagstuhl Seminar Page] [PDF] [BibTeX]
	Parallel Universes and Local Patterns, Michael R. Berthold, Katharina Morik, Arno Siebes (eds), no. 7181, Dagstuhl Seminar Proceedings, Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany, [Dagstuhl Seminar Page] [BibTeX]
2006
	Giuseppe Di Fatta, Michael R. Berthold, Dynamic Load Balancing for the Distributed Mining of Molecular Structures, IEEE Transactions on Parallel and Distributed Systems, Special Issue on High Performance Computational Biology, vol. 17, no. 8, pp. 773-785, IEEE Press [PDF] [BibTeX]
	Michael R. Berthold, Andreas Nürnberger, Towards Associative Information Access, Proceedings of AISB'06 (Adaptation in Artificial and Biological Systems, Bristol, UK), vol. 3, pp. 98-101, University of Bristol, UK [PDF] [BibTeX]
	Thomas R. Gabriel, Kilian Thiel, Michael R. Berthold, Rule Visualization based on Multi-Dimensional Scaling, IEEE International Conference on Fuzzy Systems (Vancouver, BC, Canada) [PDF] [BibTeX]
	Computational Life Sciences II, Michael R. Berthold, Robert Glen, Ingrid Fischer (eds), Lecture Notes in Bioinformatics LNBI4216, Springer Verlag [BibTeX]
	Nicolas Cebron, Michael R. Berthold, Adaptive Fuzzy Clustering, Proc. Conf. North American Fuzzy Information Processing Society (NAFIPS 2006, Montreal,QC, Canada) [PDF] [BibTeX]
	Nicolas Cebron, Michael R. Berthold, Adaptive Active Classification of Cell Assay Images, Knowledge Discovery in Databases: PKDD 2006 (PKDD/ECML, Berlin, Germany), vol. 4213, pp. 79-90, Springer Berlin / Heidelberg [PDF] [BibTeX]
	Michael R. Berthold, Nicolas Cebron, Fabian Dill, Giuseppe Di Fatta, Thomas R. Gabriel, Floran Georg, Thorsten Meinl, Peter Ohl, Christoph Sieb, Bernd Wiswedel, Knime: the Konstanz Information Miner, Proceedings 4th Annual Industrial Simulation Conference, Workshop on Multi-Agent Systems and Simulation (ISC 2006, Palermo, Italy) [PDF] [BibTeX]
	Christoph Sieb, Giuseppe Di Fatta, Michael R. Berthold, A Hierarchical Distributed Approach for Mining Molecular Fragments, Proceedings of the International Workshop on Parallel Data Mining (PKDD/ECML 2006, Berlin, Germany), pp. 25-37 [PDF] [BibTeX]
	Christian Borgelt, Thorsten Meinl, Full Perfect Extension Pruning for Frequent Graph Mining, Proc. of the Workshop on Mining Complex Data (Workshop on Mining Complex Data (MCD 2006 at ICDM 2006, Hong Kong, China), Hong Kong), IEEE Press [PDF] [BibTeX]
	Proceedings of MLG 2006, Thomas Gärtner, Gemma C. Garriga, Thorsten Meinl (eds) [PDF] [BibTeX]
	Marc Wörlein, Alexander Dreweke, Thorsten Meinl, Ingrid Fischer, Michael Philippsen, Edgar: the Embedding-baseD GrAph MineR, Proceedings of the International Workshop on Mining and Learning with Graphs (International Workshop on Mining and Learning with Graphs, Berlin, Germany), Thomas Gärtner, Gemma C. Garriga, Thorsten Meinl (eds), pp. 221-228 [BibTeX]
	Martin Riedl, Sebastian Seifert, Ingrid Fischer, String Generating Hypergraph Grammars with Word Order Restrictions., International Conference on Graph Transformations (ICGT) (Natal, Brasil), no. 4178, Andrea Corradini, Hartmut Ehrig, Ugo Montanari, Leila Ribeiro, Grzegorz Rozenberg (eds), LNCS, pp. 138-152, Springer [PDF] [BibTeX]
	Thorsten Meinl, Marc Wörlein, Ingrid Fischer, Michael Philippsen, Mining Molecular Datasets on Symmetric Multiprocessor Systems, Proceedings of the 2006 IEEE International Conference on Systems, Man and Cybernetics (2006 IEEE International Conference on Systems, Man and Cybernetics, Taipei, Taiwan), pp. 1269-1274, IEEE Press [PDF] [BibTeX]
	Thorsten Meinl, Marc Wörlein, Olga Urzova, Ingrid Fischer, Michael Philippsen, The ParMol package for frequent subgraph mining , Third International Workshop on Graph Based Tools (GraBaTs) (Natal, Brasil), Albert Zündorf, Daniel Varro (eds), pp. 94-105 [PDF] [BibTeX]
2005
	Michael R. Berthold, Bernd Wiswedel, David E. Patterson, Interactive Exploration of Fuzzy Clusters Using Neighborgrams, Fuzzy Sets and Systems, vol. 149, no. 1, pp. 21-37, Elsevier [PDF] [BibTeX]
	Thomas R. Gabriel, A. Simona Pintilie, Michael R. Berthold, Exploring Hierarchical Rule Systems in Parallel Coordinates, Proc. 6th International Symposium on Intelligent Data Analysis (IDA 2005, Madrid, Spain), no. 3646, Lecture Notes in Computer Science (LNCS), pp. 97-108, Springer Verlag [PDF] [BibTeX]
	Thomas R. Gabriel, Michael R. Berthold, Missing Values in Fuzzy Rule Induction, IEEE Conference on Systems, Man and Cybernetics, IEEE Press [PDF] [BibTeX]
	Bernd Wiswedel, Michael R. Berthold, Fuzzy Clustering in Parallel Universes, Proc. Conf. North American Fuzzy Information Processing Society (NAFIPS 2005, Ann-Arbor, MI, USA), pp. 567-572, (best student paper) [PDF] [BibTeX]
	Giuseppe Di Fatta, Michael R. Berthold, High Performance Subgraph Mining in Molecular Compounds, Proc. of International Conference on High Performance Computing and Communications (Sorrento, Italy), Lecture Notes in Computer Science (LNCS), Springer Verlag [PDF] [BibTeX]
	Christian Borgelt, Michael R. Berthold, David E. Patterson, Molecular Fragment Mining for Drug Discovery (ECSQA RU), no. 3571, Lecture Notes in AI, pp. 1002-1013, Springer Verlag [PDF] [BibTeX]
	Computational Life Science, Michael R. Berthold, Robert Glen, Oliver Kohlbacher, Kay Diederichs, Ingrid Fischer (eds), Lecture Notes in Bioinformatics LNBI3695, Springer Verlag [BibTeX]
	Michael R. Berthold, Data Analysis in the Life Sciences: Sparking Ideas, Knowledge Discovery in Databases, Machine Learning: PKDD/ECML 2005 (PKDD/ECML, Porto, Portugal), no. 3720, Lecture Notes in AI, pp. 1, (invited keynote), Springer-Verlag [PDF] [BibTeX]
	Bernd Wiswedel, Michael R. Berthold, Fuzzy Clustering in Parallel Universes with Noise Detection, IEEE International Conference on Data Mining, Workshop Computational Intelligence in Data Mining (ICDM 05, Houston, TX, USA), pp. 29-37 [PDF] [BibTeX]
	Nicolas Cebron, Michael R. Berthold, Mining of Cell Assay Images Using Active Semi-Supervised Clustering, IEEE International Conference on Data Mining, Workshop Computational Intelligence in Data Mining (ICDM 05, Houston, TX, USA), pp. 63-69 [PDF] [BibTeX]
	Giuseppe Di Fatta, Michael R. Berthold, Efficient Mining of Discriminative Fragments, Proc. of International Conference on Parallel and Distributed Computing and Systems (Phoenix, AZ, USA), ACTA Press [PDF] [BibTeX]
	Christian Borgelt, Thorsten Meinl, Michael R. Berthold, MoSS: A Program for Molecular Substructure Mining, Workshop Open Source Data Mining Software (OSDM'05, Chicago, IL), pp. 6-15, ACM Press [PDF] [BibTeX]
	Dominik Morent, David E. Patterson, Michael R. Berthold, Towards context-aware similarity metrics, Proceedings of ICMLC'05 (International Conference on Machine Learning and Cybernetics), vol. 9, pp. 5596-5598, IEEE Press [BibTeX]
2004
	Thomas R. Gabriel, Michael R. Berthold, Influence of fuzzy norms and other heuristics on "Mixed Fuzzy Rule Formation", International Journal of Approximate Reasoning (IJAR), vol. 35, pp. 195-202, Elsevier, [Corrigendum] [PDF] [BibTeX]
	Michael R. Berthold, Elizabeth Bradley, Rudolf Kruse, Guest-Editorial: Advances in Intelligent Data Analysis, Intelligent Data Analysis, vol. 8, no. 5, pp. 437-438, IOS Press [BibTeX]
	Heiko Hofer, Christian Borgelt, Michael R. Berthold, Large Scale Mining of Molecular Fragments with Wildcards, Intelligent Data Analysis, vol. 8, no. 5, pp. 495-504, IOS Press [PDF] [BibTeX]
	Christian Borgelt, Thorsten Meinl, Michael R. Berthold, Advanced Pruning Strategies to Speed Up Mining Closed Molecular Fragments, IEEE Conference on Systems, Man, and Cybernetics, pp. 4565-4570, IEEE Press [PDF] [BibTeX]
	Thorsten Meinl, Michael R. Berthold, Hybrid Fragment Mining with Mofa and FSG, IEEE Conference on Systems, Man, and Cybernetics (SMC 2004, Den Haag, The Netherlands), pp. 4559-4564, IEEE Press, (best student paper) [PDF] [BibTeX]
	Michael R. Berthold, Marco Ortolani, David E. Patterson, Frank Hoeppner, Ondine Callan, Heiko Hofer, Fuzzy Information Granules in Time Series Data, International Journal of Intelligent Systems, vol. 19, no. 7, pp. 607-618, Wiley Periodicals [BibTeX]
	Giuseppe Di Fatta, Michael R. Berthold, Distributed Mining of Molecular Fragments, IEEE International Conference on Data Mining, Workshop on Data Mining and the Grid, pp. 1-9, IEEE Press [PDF] [BibTeX]
	Michael R. Berthold, David E. Patterson, Towards Learning in Parallel Universes, Proceedings of the 2004 IEEE Int'l Conference on Fuzzy Systems (IEEE Int'l Conference on Fuzzy Systems, Budapest, Hungary), vol. 1, pp. 67-71, IEEE Press [PDF] [BibTeX]
2003
	Intelligent Data Analysis: An Introduction, Michael R. Berthold, David J. Hand (eds), 2nd edition, Springer Verlag, [More Information] [BibTeX]
	Michael R. Berthold, Mixed Fuzzy Rule Formation, International Journal of Approximate Reasoning (IJAR), vol. 32, pp. 67-84, Elsevier [PDF] [BibTeX]
	Heiko Hofer, Christian Borgelt, Michael R. Berthold, Large Scale Mining of Molecular Fragments with Wildcards, Advances in Intelligent Data Analysis V (IDA 2003, Berlin, Germany), Michael R. Berthold, Hans-Joachim Lenz, Elizabeth Bradley, Rudolf Kruse, Christian Borgelt (eds), Lecture Notes in Computer Science (LNCS), vol. 2810, pp. 376-385, Springer Verlag [PDF] [BibTeX]
	Bernd Wiswedel, David E. Patterson, Michael R. Berthold, Interactive Exploration of Fuzzy Clusters using Neighborgrams, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2003, St. Louis, MO, USA) [PDF] [BibTeX]
	Thomas R. Gabriel, Michael R. Berthold, Constructing Hierarchical Rule Systems, Proc. 5th International Symposium on Intelligent Data Analysis (IDA 2003, Berlin, Germany), Michael R. Berthold, Hans-Joachim Lenz, Elizabeth Bradley, Rudolf Kruse, Christian Borgelt (eds), Lecture Notes in Computer Science (LNCS), pp. 76-87, Springer Verlag [PDF] [BibTeX]
	Thomas R. Gabriel, Michael R. Berthold, Formation of Hierarchical Fuzzy Rule Systems, Proc. Conf. North American Fuzzy Information Processing Society (NAFIPS 2003, Chicago, IL, USA) [BibTeX]
	Michael R. Berthold, Lawrence O. Hall, Visualizing Fuzzy Points in Parallel Coordinates, IEEE Transactions on Fuzzy Systems, vol. 11, no. 3, pp. 369-374, IEEE Press [PDF] [BibTeX]
	Advances in Intelligent Data Analysis V, Michael R. Berthold, Hans-Joachim Lenz, Elizabeth Bradley, Rudolf Kruse, Christian Borgelt (eds), Lecture Notes in Computer Science, Springer Verlag [BibTeX]
2002
	Christian Borgelt, Michael R. Berthold, Mining Molecular Fragments: Finding Relevant Substructures of Molecules, IEEE Data Mining, pp. 51-58, IEEE Press, [MoFa page] [PDF] [BibTeX]
	Michael R. Berthold, David E. Patterson, Marco Ortolani, Heiko Hofer, Frank Hoeppner, Ondine Callan, Shape-Invariant Fuzzy Clustering of Proteomics Data, Proceedings of NAFIPS (22th Int'l Conference of the North American Fuzzy Information Processing Society (NAFIPS)), pp. 52-56, IEEE Press [PDF] [BibTeX]
	Marco Ortolani, Heiko Hofer, David E. Patterson, Frank Hoeppner, Michael R. Berthold, Fuzzy information granules in time series data, IEEE International Conference on Fuzzy Systems, pp. 695-699, IEEE Press [PDF] [BibTeX]
	Michael R. Berthold, Bernd Wiswedel, David E. Patterson, Neighborgram Clustering: Interactive Exploration of Cluster Neighborhoods, IEEE Data Mining, pp. 581-584, IEEE Press [PDF] [BibTeX]
2001
	Michael R. Berthold, Induction of Mixed Fuzzy Rules, International Journal of Fuzzy Systems, no. 3, pp. 382-389 [BibTeX]
	Rosaria Silipo, Rossano Vergassola, Wei Zong, Michael R. Berthold, Knowledge-Based and Data-Driven Models in Arrhythmia Fuzzy Classification, Methods of Information in Medicine, no. 40, pp. 397-402 [BibTeX]
	David E. Patterson, Michael R. Berthold, Clustering in Parallel Universes, IEEE Conference on Systems, Man and Cybernetics, IEEE Press [PDF] [BibTeX]
	Michael R. Berthold, Subsampling Conflicts to Construct Better Fuzzy Rules, Proc. Joint 9th IFSA World Congress and 20th NAFIPS International Conference (IFSA/NAFIPS), vol. 2, pp. 1098-1103, (invited paper), IEEE Press [PDF] [BibTeX]
2000
	Michael R. Berthold, Rainer Holve, Visualizing High Dimensional Fuzzy Rules, Proceedings of NAFIPS, pp. 64-68, IEEE Press [BibTeX]
	Lawrence O. Hall, Michael R. Berthold, Fuzzy Parallel Coordinates, Proceedings of NAFIPS, pp. 74-78, IEEE Press [BibTeX]
	Rainer Holve, Michael R. Berthold, Visualizing High Dimensional Fuzzy Rules, VDI Bericht (Computational Intelligence im Industriellen Einsatz), no. 1526, pp. 21-25, VDI Press [BibTeX]
	Rosaria Silipo, Michael R. Berthold, Input Features Impact on Fuzzy Decision Processes, IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, pp. 821-834 [PDF] [BibTeX]
	Michael R. Berthold, Learning Fuzzy Models and Potential Outliers, In Computational Intelligence in Data Mining, Giacomo della Riccia, Rudolf Kruse, Hans-Joachim Lenz (eds), chapter 11, pp. 111-126, (invited paper), Springer Verlag [BibTeX]
	Ingrid Fischer, Manuel Koch, Michael R. Berthold, Learning and Rewriting Rules in Fuzzy Rule Nets, Graph Transformation With Industrial Relevance, pp. 263-270 [BibTeX]
	David J. Hand, Doug Fisher, Michael R. Berthold, Guest-Editorial: Advances in Intelligent Data Analysis, Intelligent Data Analysis, vol. 4, pp. 93-95, IOS Press [BibTeX]
1999
	Michael R. Berthold, Lawrence O. Hall, Visualizing Fuzzy Points in Parallel Coordinates [BibTeX]
	Rosaria Silipo, Michael R. Berthold, Interpreting Fuzzy Models: The Discriminative Power of Input Features [BibTeX]
	Michael R. Berthold, Fuzzy Models and Potential Outliers, Proceedings of NAFIPS, pp. 532-535, (invited paper), IEEE Press [BibTeX]
	Rosaria Silipo, Michael R. Berthold, Discriminative Power of Input Features in a Fuzzy Model, Proc. 3rd International Symposium on Intelligent Data Analysis (IDA 1999, Amsterdam, The Netherlands), David J. Hand, Joost Kok, Michael R. Berthold (eds), pp. 87-98, Springer Verlag [BibTeX]
	Advances in Intelligent Data Analysis, David J. Hand, Joost Kok, Michael R. Berthold (eds), Lecture Notes in Computer Science, Springer Verlag [BibTeX]
	Michael R. Berthold, Two Stage Fuzzy Models and Potential Outliers, Fuzzy-Neuro-Systems, pp. 41-53, Leipziger Universitätsverlag [BibTeX]
	Michael R. Berthold, Klaus-Peter Huber, Constructing Fuzzy Graphs from Examples, Intelligent Data Analysis, vol. 3, no. 1, pp. 37-54, Elsevier Science Inc. [PDF] [BibTeX]
	Michael R. Berthold, Fuzzy Logic, In Intelligent Data Analysis: An Introduction, Michael R. Berthold, David J. Hand (eds), chapter 8, pp. 269-298, Springer Verlag [BibTeX]
	Intelligent Data Analysis: An Introduction, Michael R. Berthold, David J. Hand (eds), Springer Verlag [BibTeX]
1998
	Xiaohui Liu, Paul Cohen, Michael R. Berthold, Editorial: Reasoning about Data, Intelligent Data Analysis, vol. 2, no. 2, Elsevier Science Inc. [BibTeX]
	Ingrid Fischer, Manuel Koch, Michael R. Berthold, Formalizing Neural Networks, Fuzzy-Neuro-Systems, pp. 218-225, infix Verlag [BibTeX]
	Michael R. Berthold, Klaus-Peter Huber, Comparing Fuzzy Graphs, Fuzzy-Neuro-Systems, pp. 234-240, infix Verlag [BibTeX]
	Michael R. Berthold, Fay Sudweeks, Sid Newton, Richard Coyne, It makes sense: Using an autoassociative Neural Network to explore typicality in computer mediated discussions, In Network and Netplay: Virtual Groups on the Internet, Sheizaf Rafaeli, Fay Sudweeks, Margaret McLaughlin (eds), pp. 191-219, AAAI/MIT Press [BibTeX]
	Ingrid Fischer, Manuel Koch, Michael R. Berthold, Proving Properties of Neural Networks with Graph Transformations, IEEE International Joint Conference on Neural Networks, vol. 1, pp. 441-446 [BibTeX]
	Michael R. Berthold, Paul Cohen, Xiaohui Liu, Intelligent Data Analysis: Reasoning about Data, AI Magazine, vol. 19, no. 4, AAAI Press [BibTeX]
	Klaus-Peter Huber, Michael R. Berthold, Application of Fuzzy Graphs for Metamodeling, IEEE International Conference on Fuzzy Systems, vol. 1, pp. 640-645 [BibTeX]
	Ingrid Fischer, Manuel Koch, Michael R. Berthold, Showing the Equivalence of Two Training Algorithms, Part II, IEEE International Joint Conference on Neural Networks (Anchorage, Alaska/USA), vol. 1, pp. 447-456 [BibTeX]
	Ingrid Fischer, Manuel Koch, Michael R. Berthold, Showing the Equivalence of Two Training Algorithms, Part I, IEEE International Joint Conference on Neural Networks (Anchorage, Alaska/USA), vol. 1, pp. 441-446 [BibTeX]
	Klaus-Peter Huber, Michael R. Berthold, Datenbasierte Verhaltensanalyse mit Fuzzy Graphen, In Data Mining: Theoretische Aspekte und Anwendungen, Beiträge zur Wirtschaftsinformatik, Physica Verlag [BibTeX]
	Michael R. Berthold, On Fuzzy Graphs and Intelligent Data Analysis, BISC Special Interest Group in Earth Sciences Workshop, Berkeley [BibTeX]
	Michael R. Berthold, Klaus-Peter Huber, Efficiently Comparing Fuzzy Graphs, Proceedings of NAFIPS, pp. 208-211, IEEE Press [BibTeX]
	Michael R. Berthold, Jay Diamond, Constructive Training of Probabilistic Neural Networks, NeuroComputing, vol. 19, pp. 167-183, Elsevier Publisher [PDF] [BibTeX]
	Michael R. Berthold, Klaus-Peter Huber, Missing Values and Learning of Fuzzy Rules, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 6, no. 2, pp. 171-178, World Scientific Publishing Company [PDF] [BibTeX]
1997
	Michael R. Berthold, Konstruktives Training von Probabilistischen Neuronalen Netzen für die Musterklassifikation, infix Verlag [BibTeX]
	Michael R. Berthold, Klaus-Peter Huber, Constructing Fuzzy Graphs from Examples [BibTeX]
	Michael R. Berthold, Klaus-Peter Huber, Missing Values and Learning of Fuzzy Rules, Fuzzy-Neuro-Systems [BibTeX]
	Michael R. Berthold, Klaus-Peter Huber, Tolerating Missing Values in a Fuzzy Environment, Proceedings of the 7th IFSA World Congress (Prague), vol. 1, pp. 359-363, (invited paper) [BibTeX]
	Michael R. Berthold, Ingrid Fischer, Formalizing Neural Networks using Graph Transformations, IEEE International Conference on Neural Networks, pp. 275-280 [BibTeX]
	Klaus-Peter Huber, Michael R. Berthold, Simulation Data Analysis Using Fuzzy Graphs, Advances in Intelligent Data Analysis, Xiaohui Liu, Paul Cohen, Michael R. Berthold (eds), pp. 347-358, Springer Verlag [BibTeX]
	Michael R. Berthold, Fay Sudweeks, Sid Newton, Richard Coyne, Clustering on the Net: Applying Autoassociative Neural Network to Computer Mediated Discussions, Computer-Mediated Communication, vol. 2, no. 4 [BibTeX]
	Advances in Intelligent Data Analysis, Xiaohui Liu, Paul Cohen, Michael R. Berthold (eds), Lecture Notes in Computer Science, Springer Verlag [BibTeX]
1996
	Michael R. Berthold, Klaus-Peter Huber, On Missing Values and Fuzzy Rules, EUFIT, vol. 1, pp. 700-702 [BibTeX]
	Michael R. Berthold, Klaus-Peter Huber, Building Fuzzy Graphs from Examples, IEEE Conference on Fuzzy Systems, vol. 1, pp. 608-613 [BibTeX]
	Michael R. Berthold, A Probabilistic Extension for the DDA Algorithm, IEEE International Conference on Neural Networks, vol. 1, pp. 341-346 [BibTeX]
	Michael Syrjakow, Helena Szczerbicka, Michael R. Berthold, Klaus-Peter Huber, Acceleration of Direct Model Optimization Methods by Function Approximation, European Simulation Symposium, Agostino G. Bruzzone, Eugene J. H. Kerckhoffs (eds), vol. 2, pp. 181-186 [BibTeX]
	Fay Sudweeks, Michael R. Berthold, Net Conversations: Applying a Neural Network Analysis to Computer Mediated Communication, IASTED International Conference on Modelling, Simulation, and Optimization [BibTeX]
	Michael R. Berthold, Klaus-Peter Huber, Automatic Construction of Fuzzy Graphs for Function Approximation, Proceedings of NAFIPS, pp. 319-323 [BibTeX]
	Klaus-Peter Huber, Michael R. Berthold, Helena Szczerbicka, Fuzzy Graph based Metamodeling, Winter Simulation Conference [BibTeX]
	Klaus-Peter Huber, Michael R. Berthold, Helena Szczerbicka, Analysis of Simulation Models with Fuzzy Graph based Metamodeling, Performance Evaluation, vol. 27, pp. 473-490 [BibTeX]
1995
	Michael R. Berthold, Jay Diamond, Boosting the Performance of RBF Networks with Dynamic Decay Adjustment, Advances in Neural Information Processing Systems, Gerry Tesauro, David S. Touretzky, Todd K. Leen (eds), pp. 512-528, MIT Press [PDF] [BibTeX]
	Michael R. Berthold, Klaus-Peter Huber, Neural Network based Construction of Fuzzy Graphs, Proceedings of the Fourth Annual Conference on Fuzzy Theory and Technology (North Carolina), pp. 170-173, (invited paper) [BibTeX]
	Michael Tagscherer, Stefan Piekenbrock, Michael R. Berthold, Learning Reactive Behaviour of a Walking Machine Using RBF Networks, Neural Computing, Research and Applications II, John G. Keating (eds), pp. 46-53, Maynooth [BibTeX]
	Michael R. Berthold, Klaus-Peter Huber, From Radial to Rectangular Basis Functions: A new Approach for Rule Learning from Large Datasets [BibTeX]
	Klaus-Peter Huber, Michael R. Berthold, Building Precise Classifiers with Automatic Rule Extraction, IEEE International Conference on Neural Networks, vol. 3, pp. 1263-1268 [BibTeX]
	Michael R. Berthold, Fay Sudweeks, Typicality in Computer Mediated Discussions: An Analysis with Neural Networks, IEEE International Conference on Neural Networks, vol. 2, pp. 932-936 [BibTeX]
	Klaus-Peter Huber, Michael R. Berthold, Modellidentifikation durch Funktionsapproximation mit neuronalen RecBF-Netzwerken, Proceedings des 3. GI-Workshops "Fuzzy-Neuro-Systeme '95", pp. 189-196 [BibTeX]
	Andreas Furrer, Michael R. Berthold, Konstruktive Lernverfahren für Neuronale Netze mit elliptischen Basisfunktionen, Fuzzy-Neuro-Systeme, pp. 149-156 [BibTeX]
	Michael R. Berthold, Klaus-Peter Huber, Extraction of Soft Rules from RecBF Networks, Advances in Intelligent Data Analysis (IIAS, Canada), George E. Lasker, Xiaohui Liu (eds), vol. 1, pp. 11-15 [BibTeX]
	Klaus-Peter Huber, Michael R. Berthold, Data Analysis with Rule Generating Learning Algorithms, Advances in Intelligent Data Analysis, George E. Lasker, Xiaohui Liu (eds), vol. 1, pp. 80-84, IIAS [BibTeX]
1994
	Michael R. Berthold, Fridtjof Feldbusch, Ein Trainingsverfahren für Radial Basis Function Netzwerke mit dynamischer Selektion der Zentren und Adaption der Radii, Fuzzy Logik, Theorie und Praxis, Bernd Reusch (eds), pp. 78-85, Springer Verlag [BibTeX]
	Michael R. Berthold, A Time Delay Radial Basis Function Network for Phoneme Recognition, IEEE International Conference on Neural Networks, vol. 7, pp. 4470-4473 [PDF] [BibTeX]
	Michael R. Berthold, The TDRBF: A Shift Invariant Radial Basis Function Network, Irish Neural Network Conference [BibTeX]