Christian Borgelt

Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

Mining Frequent Parallel Episodes with Selective Participation.

[BibT_eX]

Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

2014

Fuzzy characterization of spike synchrony in parallel spike trains.

[BibT_eX]

[DOI]

Iván Castro León

Soft Comput., 2014

Frequent item set mining for sequential data: Synchrony in neuronal spike trains.

[BibT_eX]

[DOI]

Intell. Data Anal., 2014

Simple Pattern Spectrum Estimation for Fast Pattern Filtering with CoCoNAD.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

2013

Finding neural assemblies with frequent item set mining.

[BibT_eX]

[DOI]

Frontiers Neuroinformatics, 2013

Statistical evaluation of synchronous spike patterns extracted by frequent item set mining.

[BibT_eX]

[DOI]

Frontiers Comput. Neurosci., 2013

Behavioral Clustering for Point Processes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XII, 2013

Finding Frequent Patterns in Parallel Point Processes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XII, 2013

Incremental Frequent Route Based Trajectory Prediction.

[BibT_eX]

[DOI]

Anja Bachmann

Gyözö Gidófalvi

Proceedings of the CTS 2013, 2013

Prototype Construction for Clustering of Point Processes based on Imprecise Synchrony.

[BibT_eX]

[DOI]

Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, 2013

Unsicheres und vages Wissen.

[BibT_eX]

[DOI]

Proceedings of the Handbuch der Künstlichen Intelligenz, 5. Auflage, 2013

Computational Intelligence - A Methodological Introduction.

[BibT_eX]

[DOI]

Matthias Steinbrecher

Pascal Held

Texts in Computer Science, Springer, ISBN: 978-1-4471-5013-8, 2013

2012

Cover Similarity Based Item Set Mining.

[BibT_eX]

[DOI]

Proceedings of the Bisociative Knowledge Discovery, 2012

Selecting the Links in BisoNets Generated from Document Collections.

[BibT_eX]

[DOI]

Proceedings of the Bisociative Knowledge Discovery, 2012

Network Creation: Overview.

[BibT_eX]

[DOI]

Proceedings of the Bisociative Knowledge Discovery, 2012

Frequent item set mining.

[BibT_eX]

[DOI]

WIREs Data Mining Knowl. Discov., 2012

New algorithms for finding approximate frequent item sets.

[BibT_eX]

[DOI]

Soft Comput., 2012

Soft Pattern Mining in Neuroscience.

[BibT_eX]

[DOI]

Proceedings of the Synergies of Soft Computing and Statistics for Intelligent Data Analysis, 2012

Fuzzy Frequent Pattern Mining in Spike Trains.

[BibT_eX]

[DOI]

Iván Castro León

Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

Assembly Detection in Continuous Neural Spike Train Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

2011

Item Set Mining Based on Cover Similarity.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Finding Ensembles of Neurons in Spike Trains by Non-linear Mapping and Statistical Testing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011

Mining Fault-Tolerant Item Sets Using Subset Size Occurrence Distributions.

[BibT_eX]

[DOI]

Tobias Kötter

Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011

Frequent route based continuous moving object location- and density prediction on road networks.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2011

Finding closed frequent item sets by intersecting transactions.

[BibT_eX]

[DOI]

Alberto D. Pascual-Montano

Xiaoyuan Yang

Rubén Nogales-Cadenas

Pedro Carmona-Saez

Proceedings of the EDBT 2011, 2011

2010

Guide to Intelligent Data Analysis - How to Intelligently Make Sense of Real Data.

[BibT_eX]

[DOI]

Texts in Computer Science 42, Springer, ISBN: 978-1-84882-260-3, 2010

Simple Algorithms for Frequent Item Set Mining.

[BibT_eX]

[DOI]

Proceedings of the Advances in Machine Learning II, 2010

Complexity distribution as a measure for assembly size and temporal precision.

[BibT_eX]

[DOI]

Sebastien Louis

Neural Networks, 2010

A conditional independence algorithm for learning undirected graphical models.

[BibT_eX]

[DOI]

J. Comput. Syst. Sci., 2010

Efficient Identification of Assembly Neurons within Massively Parallel Spike Trains.

[BibT_eX]

[DOI]

Comput. Intell. Neurosci., 2010

Selecting the Links in BisoNets Generated from Document Collections.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis IX, 9th International Symposium, 2010

2009

Full Perfect Extension Pruning for Frequent Subgraph Mining.

[BibT_eX]

[DOI]

Thorsten Meinl

Proceedings of the Mining Complex Data, 2009

Accelerating fuzzy clustering.

[BibT_eX]

[DOI]

Inf. Sci., 2009

Identification of neurons participating in cell assemblies.

[BibT_eX]

[DOI]

Denise Berger

Proceedings of the IEEE International Conference on Acoustics, 2009

SaM: A Split and Merge Algorithm for Fuzzy Frequent Item Set Mining.

[BibT_eX]

[DOI]

Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

(Approximate) Frequent Item Set Mining Made Simple with a Split and Merge Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Scalable Fuzzy Algorithms for Data Management and Analysis, 2009

2008

Fixed Parameter Algorithms for the Minimum Weight Triangulation Problem.

[BibT_eX]

[DOI]

Magdalene G. Borgelt

Christos Levcopoulos

Int. J. Comput. Geom. Appl., 2008

Fuzzy Subspace Clustering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008

Feature weighting and feature selection in fuzzy clustering.

[BibT_eX]

[DOI]

Proceedings of the FUZZ-IEEE 2008, 2008

2007

Resampling for Fuzzy Clustering.

[BibT_eX]

[DOI]

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2007

Support Computation for Mining Frequent Subgraphs in a Single Graph.

[BibT_eX]

[DOI]

Mathias Fiedler

Proceedings of the Mining and Learning with Graphs, 2007

Subgraph Support in a Single Large Graph.

[BibT_eX]

[DOI]

Mathias Fiedler

Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Graph Mining: Repository vs. Canonical Form.

[BibT_eX]

[DOI]

Mathias Fiedler

Proceedings of the Data Analysis, Machine Learning and Applications, 2007

FrIDA - A Free Intelligent Data Analysis Toolbox.

[BibT_eX]

[DOI]

Gil Gonzáles-Rodríguez

Proceedings of the FUZZ-IEEE 2007, 2007

Learning Undirected Possibilistic Networks with Conditional Independence Tests.

[BibT_eX]

[DOI]

Proceedings of the FUZZ-IEEE 2007, 2007

Prototype-less Fuzzy Clustering.

[BibT_eX]

[DOI]

Proceedings of the FUZZ-IEEE 2007, 2007

2006

Full Perfect Extension Pruning for Frequent Graph Mining.

[BibT_eX]

[DOI]

Thorsten Meinl

Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Canonical Forms for Frequent Graph Mining.

[BibT_eX]

[DOI]

Proceedings of the Advances in Data Analysis, 2006

Finding the Number of Fuzzy Clusters by Resampling.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2005

Minimum Weight Triangulation by Cutting Out Triangles.

[BibT_eX]

[DOI]

Magdalene Grantson

Christos Levcopoulos

Proceedings of the Algorithms and Computation, 16th International Symposium, 2005

Fuzzy frequent pattern discovering based on recursive elimination.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

Effects of Irrelevant Attributes in Fuzzy Clustering.

[BibT_eX]

[DOI]

Christian Döring

Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

Fuzzy Learning Vector Quantization with Size and Shape Parameters.

[BibT_eX]

[DOI]

Andreas Nürnberger

Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

Probabilistic Graphical Models for the Diagnosis of Analog Electrical Circuits.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

Molecular Fragment Mining for Drug Discovery.

[BibT_eX]

[DOI]

David E. Patterson

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

2004

Large scale mining of molecular fragments with wildcards.

[BibT_eX]

[DOI]

Heiko Hofer

Intell. Data Anal., 2004

An extension to possibilistic fuzzy cluster analysis.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 2004

Probabilistische grafische Modellle und ihre Anwendung in der Automobilindustrie.

[BibT_eX]

Datenbank-Spektrum, 2004

Advanced pruning strategies to speed up mining closed molecular fragments.

[BibT_eX]

[DOI]

Thorsten Meinl

Proceedings of the IEEE International Conference on Systems, 2004

Shape and Size Regularization in Expectation Maximization and Fuzzy Clustering.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

Experiments in Term Weighting and Keyword Extraction in Document Clustering.

[BibT_eX]

Andreas Nürnberger

Proceedings of the LWA 2004: Lernen - Wissensentdeckung - Adaptivität, Berlin, 4., 2004

Modeling and diagnosis of analog circuits with probabilistic graphical models.

[BibT_eX]

Daniela Girimonte

Giuseppe Acciani

Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

Learning vector quantization: cluster size and cluster number.

[BibT_eX]

Daniela Girimonte

Giuseppe Acciani

Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

Information measures in fuzzy decision trees.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

Recursion Pruning for the Apriori Algorithm.

[BibT_eX]

[DOI]

Proceedings of the FIMI '04, 2004

2003

Learning possibilistic graphical models from data.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2003

Information mining.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2003

Operations and evaluation measures for learning possibilistic graphical models.

[BibT_eX]

[DOI]

Artif. Intell., 2003

On Identifying Tree-Structured Perfect Maps.

[BibT_eX]

[DOI]

Proceedings of the KI 2003: Advances in Artificial Intelligence, 2003

Speeding up fuzzy clustering with neural network techniques.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

Local Structure Learning in Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the Planning Based on Decision Theory, 2003

Unsicheres und vages Wissens.

[BibT_eX]

[DOI]

Heiko Timm

Proceedings of the Handbuch der Künstlichen Intelligenz, 4. Auflage, 2003

Neuro-Fuzzy-Systeme

[BibT_eX]

[DOI]

Vieweg, ISBN: 978-3-528-25265-6, 2003

2002

Mining Molecular Fragments: Finding Relevant Substructures of Molecules.

[BibT_eX]

[DOI]

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Data Mining with Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science, 5th International Conference, 2002

Induction of Association Rules: Apriori Implementation.

[BibT_eX]

[DOI]

Proceedings of the COMPSTAT 2002, 2002

Graphical models - methods for data analysis and mining.

[BibT_eX]

Wiley, ISBN: 978-0-470-84337-6, 2002

2001

Unsicherheit und Vagheit - Serviceteil.

[BibT_eX]

Künstliche Intell., 2001

Unsicherheit und Vagheit: Begriffe, Methoden, Forschungsthemen.

[BibT_eX]

Künstliche Intell., 2001

Learning Graphical Models With Hypertree Structure Using a Simulated Annealing Approach.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

An Empirical Investigation of the K2 Metric.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001

2000

Data mining with graphical models.

[BibT_eX]

[DOI]

PhD thesis, 2000

Problems and Prospects in Fuzzy Data Analysis.

[BibT_eX]

[DOI]

Detlef D. Nauck

Proceedings of the Intelligent Systems and Soft Computing: Prospects, 2000

Advanced Fuzzy Clustering and Decision Tree Plug-Ins for Data Engine<sup>TM</sup>.

[BibT_eX]

[DOI]

Heiko Timm

Proceedings of the Intelligent Systems and Soft Computing: Prospects, 2000

Data mining with graphical models.

[BibT_eX]

[DOI]

Proceedings of the Ausgezeichnete Informatikdissertationen 2000, 2000

Using fuzzy clustering to improve naive Bayes classifiers and probabilistic networks.

[BibT_eX]

[DOI]

Heiko Timm

Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 2000

Possibilistic Graphical Models.

[BibT_eX]

[DOI]

Jörg Gebhardt

Proceedings of the Computational Intelligence in Data Mining, 2000

1999

A Critique of Inductive Causation.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1999

Fuzzy Methoden in der Datenanalyse.

[BibT_eX]

[DOI]

Jörg Gebhardt

Proceedings of the Fuzzy Theorie und Stochastik, 1999

1998

Lernen probabilistischer und possibilistischer Netze aus Daten: Theorie und Anwendung.

[BibT_eX]

Guido Lindner

Künstliche Intell., 1998

1997

Some Experimental Results on Learning Probabilistic and Possibilistic Networks with Different Evaluation Measures.

[BibT_eX]

[DOI]