Christian Borgelt

	2012
60		Christian Borgelt, Christian Braune, Tobias Kötter, Sonja Grün: New algorithms for finding approximate frequent item sets. Soft Comput. 16(5): 903-917 (2012)
	2011
59		Christian Borgelt, Xiaoyuan Yang, Rubén Nogales-Cadenas, Pedro Carmona-Saez, Alberto D. Pascual-Montano: Finding closed frequent item sets by intersecting transactions. EDBT 2011: 367-376
58		Gyözö Gidófalvi, Manohar Kaul, Christian Borgelt, Torben Bach Pedersen: Frequent route based continuous moving object location- and density prediction on road networks. GIS 2011: 381-384
57		Christian Borgelt, Tobias Kötter: Mining Fault-Tolerant Item Sets Using Subset Size Occurrence Distributions. IDA 2011: 43-54
56		Christian Braune, Christian Borgelt, Sonja Grün: Finding Ensembles of Neurons in Spike Trains by Non-linear Mapping and Statistical Testing. IDA 2011: 55-66
55		Marc Segond, Christian Borgelt: Item Set Mining Based on Cover Similarity. PAKDD (2) 2011: 493-505
	2010
54		Marc Segond, Christian Borgelt: Selecting the Links in BisoNets Generated from Document Collections. IDA 2010: 196-207
53		Christian Borgelt: Simple Algorithms for Frequent Item Set Mining. Advances in Machine Learning II 2010: 351-369
52		Denise Berger, Christian Borgelt, Sebastien Louis, Abigail Morrison, Sonja Grün: Efficient Identification of Assembly Neurons within Massively Parallel Spike Trains. Comp. Int. and Neurosc. 2010: (2010)
51		Christian Borgelt: A conditional independence algorithm for learning undirected graphical models. J. Comput. Syst. Sci. 76(1): 21-33 (2010)
50		Sebastien Louis, Christian Borgelt, Sonja Grün: Complexity distribution as a measure for assembly size and temporal precision. Neural Networks 23(6): 705-712 (2010)
	2009
49		Sonja Grün, Denise Berger, Christian Borgelt: Identification of neurons participating in cell assemblies. ICASSP 2009: 3493-3496
48		Christian Borgelt, Xiaomeng Wang: SaM: A Split and Merge Algorithm for Fuzzy Frequent Item Set Mining. IFSA/EUSFLAT Conf. 2009: 968-973
47		Christian Borgelt, Thorsten Meinl: Full Perfect Extension Pruning for Frequent Subgraph Mining. Mining Complex Data 2009: 189-205
46		Christian Borgelt: Accelerating fuzzy clustering. Inf. Sci. 179(23): 3985-3997 (2009)
	2008
45		Christian Borgelt: Feature weighting and feature selection in fuzzy clustering. FUZZ-IEEE 2008: 838-844
44		Christian Borgelt: Fuzzy Subspace Clustering. GfKl 2008: 93-103
43		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
42		Christian Borgelt, Gil Gonzáles-Rodríguez: FrIDA - A Free Intelligent Data Analysis Toolbox. FUZZ-IEEE 2007: 1-5
41		Christian Borgelt: Learning Undirected Possibilistic Networks with Conditional Independence Tests. FUZZ-IEEE 2007: 1-6
40		Christian Borgelt: Prototype-less Fuzzy Clustering. FUZZ-IEEE 2007: 1-6
39		Christian Borgelt, Mathias Fiedler: Graph Mining: Repository vs. Canonical Form. GfKl 2007: 229-236
38		Mathias Fiedler, Christian Borgelt: Subgraph Support in a Single Large Graph. ICDM Workshops 2007: 399-404
37		Mathias Fiedler, Christian Borgelt: Support Computation for Mining Frequent Subgraphs in a Single Graph. MLG 2007
36		Christian Borgelt: Resampling for Fuzzy Clustering. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15(5): 595-614 (2007)
	2006
35		Myra Spiliopoulou, Rudolf Kruse, Christian Borgelt, Andreas Nürnberger, Wolfgang Gaul: From Data and Information Analysis to Knowledge Engineering, Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Magdeburg, March 9-11, 2005 Springer 2006
34		Christian Borgelt: Canonical Forms for Frequent Graph Mining. GfKl 2006: 337-349
33		Christian Borgelt, Thorsten Meinl: Full Perfect Extension Pruning for Frequent Graph Mining. ICDM Workshops 2006: 263-268
	2005
32		Christian Borgelt, Rudolf Kruse: Probabilistic Graphical Models for the Diagnosis of Analog Electrical Circuits. ECSQARU 2005: 100-110
31		Christian Borgelt, Michael R. Berthold, David E. Patterson: Molecular Fragment Mining for Drug Discovery. ECSQARU 2005: 1002-1013
30		Xiaomeng Wang, Christian Borgelt, Rudolf Kruse: Fuzzy frequent pattern discovering based on recursive elimination. ICMLA 2005
29		Magdalene Grantson, Christian Borgelt, Christos Levcopoulos: Minimum Weight Triangulation by Cutting Out Triangles. ISAAC 2005: 984-994
	2004
28		Christian Borgelt: Recursion Pruning for the Apriori Algorithm. FIMI 2004
27		Christian Borgelt, Daniela Girimonte, Giuseppe Acciani: Modeling and diagnosis of analog circuits with probabilistic graphical models. ISCAS (4) 2004: 485-488
26		Christian Borgelt, Daniela Girimonte, Giuseppe Acciani: Learning vector quantization: cluster size and cluster number. ISCAS (5) 2004: 808-811
25		Christian Borgelt, Andreas Nürnberger: Experiments in Term Weighting and Keyword Extraction in Document Clustering. LWA 2004: 123-130
24		Christian Borgelt, Rudolf Kruse: Shape and Size Regularization in Expectation Maximization and Fuzzy Clustering. PKDD 2004: 52-62
23		Christian Borgelt, Thorsten Meinl, Michael R. Berthold: Advanced pruning strategies to speed up mining closed molecular fragments. SMC (5) 2004: 4565-4570
22		Christian Borgelt, Rudolf Kruse: Probabilistische grafische Modellle und ihre Anwendung in der Automobilindustrie. Datenbank-Spektrum 9: 18-23 (2004)
21		Heiko Timm, Christian Borgelt, Christian Döring, Rudolf Kruse: An extension to possibilistic fuzzy cluster analysis. Fuzzy Sets and Systems 147(1): 3-16 (2004)
20		Heiko Hofer, Christian Borgelt, Michael R. Berthold: Large scale mining of molecular fragments with wildcards. Intell. Data Anal. 8(5): 495-504 (2004)
	2003
19		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
18		Heiko Hofer, Christian Borgelt, Michael R. Berthold: Large Scale Mining of Molecular Fragments with Wildcards. IDA 2003: 376-385
17		Christian Borgelt: On Identifying Tree-Structured Perfect Maps. KI 2003: 385-395
16		Christian Borgelt, Rudolf Kruse: Operations and evaluation measures for learning possibilistic graphical models. Artif. Intell. 148(1-2): 385-418 (2003)
15		Rudolf Kruse, Christian Borgelt: Information mining. Int. J. Approx. Reasoning 32(2-3): 63-65 (2003)
	2002
14		Christian Borgelt, Rudolf Kruse: Graphical models - methods for data analysis and mining. Wiley 2002: I-VIII, 1-358
13		Rudolf Kruse, Christian Borgelt: Data Mining with Graphical Models. ALT 2002: 22
12		Rudolf Kruse, Christian Borgelt: Data Mining with Graphical Models. Discovery Science 2002: 2-11
11		Christian Borgelt, Michael R. Berthold: Mining Molecular Fragments: Finding Relevant Substructures of Molecules. ICDM 2002: 51-58
	2001
10		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		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

Coauthor Index

1	Giuseppe Acciani	[26] [27]
2	Denise Berger	[49] [52]
3	Michael R. Berthold	[11] [18] [19] [20] [23] [31]
4	Magdalene G. Borgelt (Magdalene Grantson)	[29] [43]
5	Elizabeth Bradley	[19]
6	Christian Braune	[56] [60]
7	Pedro Carmona-Saez	[59]
8	Christian Döring	[21]
9	Mathias Fiedler	[37] [38] [39]
10	Wolfgang Gaul	[35]
11	Gyözö Gidófalvi	[58]
12	Daniela Girimonte	[26] [27]
13	Gil Gonzáles-Rodríguez	[42]
14	Sonja Grün	[49] [50] [52] [56] [60]
15	Heiko Hofer	[18] [20]
16	Manohar Kaul	[58]
17	Tobias Kötter	[57] [60]
18	Rudolf Kruse	[1] [2] [3] [4] [5] [7] [8] [9] [10] [12] [13] [14] [15] [16] [19] [21] [22] [24] [30] [32] [35]
19	Hans-Joachim Lenz	[19]
20	Christos Levcopoulos	[29] [43]
21	Guido Lindner	[2]
22	Sebastien Louis	[50] [52]
23	Thorsten Meinl	[23] [33] [47]
24	Abigail Morrison	[52]
25	Detlef D. Nauck (Detlef Nauck)	[5]
26	Rubén Nogales-Cadenas	[59]
27	Andreas Nürnberger	[25] [35]
28	Alberto D. Pascual-Montano	[59]
29	David E. Patterson	[31]
30	Torben Bach Pedersen	[58]
31	Marc Segond	[54] [55]
32	Myra Spiliopoulou	[35]
33	Heiko Timm	[6] [21]
34	Xiaomeng Wang	[30] [48]
35	Xiaoyuan Yang	[59]

Colors in the list of coauthors

Last update Sun May 27 04:04:01 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page