| 2009 |
|---|
| 39 | EE | Christian Borgelt,
Thorsten Meinl:
Full Perfect Extension Pruning for Frequent Subgraph Mining.
Mining Complex Data 2009: 189-205 |
| 2008 |
|---|
| 38 | EE | Magdalene G. Borgelt,
Christian Borgelt,
Christos Levcopoulos:
Fixed Parameter Algorithms for the Minimum Weight Triangulation Problem.
Int. J. Comput. Geometry Appl. 18(3): 185-220 (2008) |
| 2007 |
|---|
| 37 | EE | Christian Borgelt,
Gil Gonzáles-Rodríguez:
FrIDA - A Free Intelligent Data Analysis Toolbox.
FUZZ-IEEE 2007: 1-5 |
| 36 | EE | Christian Borgelt:
Learning Undirected Possibilistic Networks with Conditional Independence Tests.
FUZZ-IEEE 2007: 1-6 |
| 35 | EE | Christian Borgelt:
Prototype-less Fuzzy Clustering.
FUZZ-IEEE 2007: 1-6 |
| 34 | EE | Mathias Fiedler,
Christian Borgelt:
Subgraph Support in a Single Large Graph.
ICDM Workshops 2007: 399-404 |
| 33 | EE | Mathias Fiedler,
Christian Borgelt:
Support Computation for Mining Frequent Subgraphs in a Single Graph.
MLG 2007 |
| 32 | EE | Christian Borgelt:
Resampling for Fuzzy Clustering.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15(5): 595-614 (2007) |
| 2006 |
|---|
| 31 | EE | Christian Borgelt,
Thorsten Meinl:
Full Perfect Extension Pruning for Frequent Graph Mining.
ICDM Workshops 2006: 263-268 |
| 2005 |
|---|
| 30 | EE | Christian Borgelt,
Rudolf Kruse:
Probabilistic Graphical Models for the Diagnosis of Analog Electrical Circuits.
ECSQARU 2005: 100-110 |
| 29 | EE | Christian Borgelt,
Michael R. Berthold,
David E. Patterson:
Molecular Fragment Mining for Drug Discovery.
ECSQARU 2005: 1002-1013 |
| 28 | EE | Magdalene Grantson,
Christian Borgelt,
Christos Levcopoulos:
Minimum Weight Triangulation by Cutting Out Triangles.
ISAAC 2005: 984-994 |
| 2004 |
|---|
| 27 | EE | Christian Borgelt:
Recursion Pruning for the Apriori Algorithm.
FIMI 2004 |
| 26 | | Christian Borgelt,
Daniela Girimonte,
Giuseppe Acciani:
Modeling and diagnosis of analog circuits with probabilistic graphical models.
ISCAS (4) 2004: 485-488 |
| 25 | | Christian Borgelt,
Daniela Girimonte,
Giuseppe Acciani:
Learning vector quantization: cluster size and cluster number.
ISCAS (5) 2004: 808-811 |
| 24 | | Christian Borgelt,
Andreas Nürnberger:
Experiments in Term Weighting and Keyword Extraction in Document Clustering.
LWA 2004: 123-130 |
| 23 | EE | Christian Borgelt,
Rudolf Kruse:
Shape and Size Regularization in Expectation Maximization and Fuzzy Clustering.
PKDD 2004: 52-62 |
| 22 | EE | Christian Borgelt,
Thorsten Meinl,
Michael R. Berthold:
Advanced pruning strategies to speed up mining closed molecular fragments.
SMC (5) 2004: 4565-4570 |
| 21 | | Christian Borgelt,
Rudolf Kruse:
Probabilistische grafische Modellle und ihre Anwendung in der Automobilindustrie.
Datenbank-Spektrum 9: 18-23 (2004) |
| 20 | EE | Heiko Timm,
Christian Borgelt,
Christian Döring,
Rudolf Kruse:
An extension to possibilistic fuzzy cluster analysis.
Fuzzy Sets and Systems 147(1): 3-16 (2004) |
| 19 | EE | Heiko Hofer,
Christian Borgelt,
Michael R. Berthold:
Large scale mining of molecular fragments with wildcards.
Intell. Data Anal. 8(5): 495-504 (2004) |
| 2003 |
|---|
| 18 | | Michael R. Berthold,
Hans-Joachim Lenz,
Elizabeth Bradley,
Rudolf Kruse,
Christian Borgelt:
Advances in Intelligent Data Analysis V, 5th International Symposium on Intelligent Data Analysis, IDA 2003, Berlin, Germany, August 28-30, 2003, Proceedings
Springer 2003 |
| 17 | EE | Heiko Hofer,
Christian Borgelt,
Michael R. Berthold:
Large Scale Mining of Molecular Fragments with Wildcards.
IDA 2003: 376-385 |
| 16 | EE | Christian Borgelt:
On Identifying Tree-Structured Perfect Maps.
KI 2003: 385-395 |
| 15 | EE | Christian Borgelt,
Rudolf Kruse:
Operations and evaluation measures for learning possibilistic graphical models.
Artif. Intell. 148(1-2): 385-418 (2003) |
| 14 | EE | Rudolf Kruse,
Christian Borgelt:
Information mining.
Int. J. Approx. Reasoning 32(2-3): 63-65 (2003) |
| 2002 |
|---|
| 13 | EE | Rudolf Kruse,
Christian Borgelt:
Data Mining with Graphical Models.
ALT 2002: 22 |
| 12 | EE | Rudolf Kruse,
Christian Borgelt:
Data Mining with Graphical Models.
Discovery Science 2002: 2-11 |
| 11 | EE | Christian Borgelt,
Michael R. Berthold:
Mining Molecular Fragments: Finding Relevant Substructures of Molecules.
ICDM 2002: 51-58 |
| 2001 |
|---|
| 10 | EE | Christian Borgelt,
Rudolf Kruse:
An Empirical Investigation of the K2 Metric.
ECSQARU 2001: 240-251 |
| 9 | | Christian Borgelt,
Rudolf Kruse:
Learning Graphical Models With Hypertree Structure Using a Simulated Annealing Approach.
FUZZ-IEEE 2001: 135-138 |
| 8 | | Christian Borgelt,
Rudolf Kruse:
Unsicherheit und Vagheit - Serviceteil.
KI 15(3): 48 (2001) |
| 7 | | Christian Borgelt,
Rudolf Kruse:
Unsicherheit und Vagheit: Begriffe, Methoden, Forschungsthemen.
KI 15(3): 5-8 (2001) |
| 2000 |
|---|
| 6 | | Christian Borgelt,
Heiko Timm:
Advanced Fuzzy Clustering and Decision Tree Plug-Ins for Data EngineTM.
Intelligent Systems and Soft Computing 2000: 188-212 |
| 5 | | Rudolf Kruse,
Christian Borgelt,
Detlef Nauck:
Problems and Prospects in Fuzzy Data Analysis.
Intelligent Systems and Soft Computing 2000: 95-109 |
| 1999 |
|---|
| 4 | EE | Christian Borgelt,
Rudolf Kruse:
A Critique of Inductive Causation.
ESCQARU 1999: 68-79 |
| 1998 |
|---|
| 3 | | Rudolf Kruse,
Christian Borgelt:
Data Mining with Graphical Models.
KI 1998: 3-16 |
| 2 | | Christian Borgelt,
Rudolf Kruse,
Guido Lindner:
Lernen probabilistischer und possibilistischer Netze aus Daten: Theorie und Anwendung.
KI 12(1): 11-17 (1998) |
| 1997 |
|---|
| 1 | | Christian Borgelt,
Rudolf Kruse:
Some Experimental Results on Learning Probabilistic and Possibilistic Networks with Different Evaluation Measures.
ECSQARU-FAPR 1997: 71-85 |
