Keywords:
- Artificial Neural Networks
- Bayesian Networks
- clustering
- Computational Intelligence
- continuous data
- dynamic graphs
- EEG
- Enron dataset
- ensemble detection
- Evolutionary Algorithms
- Fuzzy Systems
- Hebbian learning
- multidimensional scaling
- Neural Networks
- neuroimaging
- neuroscience
- point processes
- social network analysis
- spike train
- spike train analysis
Publications of Christian Borgelt sorted by title
A
A Critique of Inductive Causation, in: Proc. 5th European Conf. on Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU'99, London, United Kingdom), pages 68--79, Springer-Verlag, 1999 | and ,
A Framework for Discovering Interesting Business Changes from Data (2006), in: BT Technology Journal, 24:2(219--228) | , , and ,
Abductive Inference with Probabilistic Networks, in: Abductive Reasoning and Learning, Kluwer, 2000 | and ,
Advanced Analysis of Dynamic Graphs in Social and Neural Networks, in: Towards Advanced Data Analysis by Combining Soft Computing and Statistics, pages 205--222, Springer, 2013 | , , , and ,
Advances in Intelligent Data Analysis V, Springer, 2003 |
Advances in Intelligent Data Analysis V --- Proc.\ 5th Int.\ Symp.\ on Intelligent Data Analysis (IDA2003, Berlin, Germany), Springer-Verlag, 2003 |
An Empirical Investigation of the K2 Metric, in: Proc.\ 6th European Conf.\ on Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU'01, Toulouse, France), pages 240--251, Springer-Verlag, 2001 | and ,
An Extended Objective Function for Prototype-less Fuzzy Clustering, in: Proc. Conf. North American Fuzzy Information Processing Society (NAFIPS 2007), pages 146--151, 2007 | and ,
An Extension to Possibilistic Fuzzy Cluster Analysis (2004), in: Fuzzy Sets and Systems, 147(3--16) | , , , and ,
An Extension to Possibilistic Fuzzy Cluster Analysis (2004), in: Fuzzy Sets and Systems, 147(3--16) | , , and ,
Assembly Detection in Continuous Neural Spike Train Data, in: Advances in Intelligent Data Analysis XI, pages 78-89, Springer Berlin / Heidelberg, 2012 | , and ,
Attributauswahlmaße für die Induktion von Entscheidungsbäumen: Ein Überblick, pages 77--98, Physica-Verlag, Data Mining: Theoretische Aspekte und Anwendungen, 1998 | and ,
B
Bedeutung von Zugehörigkeitsgraden in der Fuzzy-Technologie (2015), in: Informatik-Spektrum, 38:6(490-499) | and ,
Behavioral Clustering for Point Processes, in: Advances in Intelligent Data Analysis XII, pages 127-137, Springer Berlin Heidelberg, 2013 | , and ,
C
Computational Intelligence - A Methodological Introduction, Springer, 2016 | , , , and ,
Computational Intelligence: A Methodological Introduction, Springer, Texts in Computer Science, 2013 | , , , , and ,
Computational Intelligence: Eine methodische Einführung in Künstliche Neuronale Netze, Evolutionäre Algorithmen, Fuzzy-Systeme und Bayes-Netze, Vieweg+Teubner, Computational Intelligence, 2011 | , , , , and ,
Computational Intelligence: Eine methodische Einführung in Künstliche Neuronale Netze, Evolutionäre Algorithmen, Fuzzy-Systeme und Bayes-Netze, Springer Vieweg, 2015 | , , , , and ,
Concepts for Probabilistic and Possibilistic Induction of Decision Trees on Real World Data, in: Proc.\ 4th European Congress on Intelligent Techniques and Soft Computing (EUFIT'96, Aachen, Germany), pages 1556--1560, Verlag Mainz, 1996 | , and ,
Constraining Shape and Size in Clustering, in: Cooperation in Classification and Data Analysis, pages 13--25, Springer, 2009 | and ,
D
Data Mining mit Neuro-Fuzzy-Systemen, in: Proc.\ Symposium Operations Research (SOR'99, Magdeburg, Germany), 1999 | , and ,
Data Mining with Fuzzy Methods: Status and Perspectives, in: Proc.\ 7th European Congress on Intelligent Techniques and Soft Computing (EUFIT'99, Aachen, Germany), Verlag Mainz, 1999 | , and ,
Data Mining with Graphical Models, in: Proc. DS 2002, pages 2--11, Springer, 2002 | and ,
Data Mining with Graphical Models, in: Proc.\ Computer Science for Environmental Protection (12th Int.\ Symp.\ ``Informatik für den Umweltschutz'', Bremen, Germany), pages 17--30, 1998 | and ,
Data Mining with Possibilistic Graphical Models, pages 229--248, IOS Press, Nato Science Series III, Systematic Organisation of Information, volume 184, 2003 | and ,
E
Effects of Irrelevant Attributes in Fuzzy Clustering, in: Proc. 14th IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE'05, Reno, NV), CD-ROM, pages 862--866, IEEE Press, 2005 | , and ,
Efficient Maximum Projection of Database-Induced Multivariate Possibility Distributions, in: Proc.\ 7th IEEE Int.\ Conf.\ on Fuzzy Systems (FUZZ-IEEE'98, Anchorage, AK), pages 663--668, IEEE Press, 1998 | and ,
Evaluation measures for learning probabilistic and possibilistic networks, in: Proc. 6th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'97), pages 669--676, 1997 | and ,
F
Finding Ensembles of Neurons in Spike Trains by Non-linear Mapping and Statistical Testing, in: Advances in Intelligent Data Analysis X, pages 55-66, Springer Berlin / Heidelberg, 2011 | , and ,
Finding the Number of Fuzzy Clusters by Resampling, in: Proc. 16th IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE'06, Vancouver, Canada), IEEE Press, Piscataway, NJ, USA, 2006 | and ,