Frank Höppner

2008
21	EE	Frank Höppner, Frank Klawonn: Clustering with Size Constraints. Computational Intelligence Paradigms 2008: 167-180
2007
20	EE	Katharina Tschumitschew, Frank Klawonn, Frank Höppner, Vitaliy Kolodyazhniy: Landscape Multidimensional Scaling. IDA 2007: 263-273
19	EE	Frank Höppner, Alexander Topp: Classification Based on the Trace of Variables over Time. IDEAL 2007: 739-749
18	EE	Frank Höppner, Mirko Böttcher: Matching Partitions over Time to Reliably Capture Local Clusters in Noisy Domains. PKDD 2007: 479-486
17	EE	Frank Höppner, Mirko Böttcher: Reliably Capture Local Clusters in Noisy Domains From Parallel Universes. Parallel Universes and Local Patterns 2007
2006
16	EE	Frank Klawonn, Frank Höppner: Equi-sized, Homogeneous Partitioning. KES (2) 2006: 70-77
2005
15		Frank Höppner: Association Rules. The Data Mining and Knowledge Discovery Handbook 2005: 353-376
2004
14	EE	Frank Höppner: Local Pattern Detection and Clustering. Local Pattern Detection 2004: 53-70
13	EE	Michael R. Berthold, Marco Ortolani, David E. Patterson, Frank Höppner, Ondine Callan, Heiko Hofer: Fuzzy information granules in time series data. Int. J. Intell. Syst. 19(7): 607-618 (2004)
2003
12	EE	Frank Klawonn, Frank Höppner: An alternative approach to the fuzzifier in fuzzy clustering to obtain better clustering. EUSFLAT Conf. 2003: 730-734
11	EE	Frank Klawonn, Frank Höppner: What Is Fuzzy about Fuzzy Clustering? Understanding and Improving the Concept of the Fuzzifier. IDA 2003: 254-264
10	EE	Frank Höppner, Frank Klawonn: Improved fuzzy partitions for fuzzy regression models. Int. J. Approx. Reasoning 32(2-3): 85-102 (2003)
2002
9	EE	Frank Höppner: Handling Feature Ambiguity in Knowledge Discovery from Time Series. Discovery Science 2002: 398-405
8		Frank Höppner: Time Series Abstraction Methods - A Survey. GI Jahrestagung 2002: 777-786
7	EE	Frank Höppner: Discovery of Core Episodes from Sequences. Pattern Detection and Discovery 2002: 199-213
6	EE	Frank Höppner: Speeding up fuzzy c-means: using a hierarchical data organisation to control the precision of membership calculation. Fuzzy Sets and Systems 128(3): 365-376 (2002)
5	EE	Frank Höppner, Frank Klawonn: Finding informative rules in interval sequences. Intell. Data Anal. 6(3): 237-255 (2002)
4	EE	Frank Höppner, Frank Klawonn, Patrik Eklund: Learning indistinguishability from data. Soft Comput. 6(1): 6-13 (2002)
2001
3	EE	Frank Höppner, Frank Klawonn: Finding Informative Rules in Interval Sequences. IDA 2001: 125-134
2	EE	Frank Höppner: Discovery of Temporal Patterns. Learning Rules about the Qualitative Behaviour of Time Series. PKDD 2001: 192-203
2000
1	EE	Frank Höppner, Frank Klawonn: Obtaining interpretable fuzzy models from fuzzy clustering and fuzzy regression. KES 2000: 162-165

Coauthor Index

1	Michael R. Berthold	[13]
2	Mirko Böttcher	[17] [18]
3	Ondine Callan	[13]
4	Patrik Eklund	[4]
5	Heiko Hofer	[13]
6	Frank Klawonn	[1] [3] [4] [5] [10] [11] [12] [16] [20] [21]
7	Vitaliy Kolodyazhniy	[20]
8	Marco Ortolani	[13]
9	David E. Patterson	[13]
10	Alexander Topp	[19]
11	Katharina Tschumitschew	[20]

Colors in the list of coauthors