Search the dblp DataBase

Publications of Author

1. Frank Höppner
   Local Pattern Detection and Clustering. [Citation Graph (0, 0)][DBLP]
   Local Pattern Detection, 2004, pp:53-70 [Conf]
   
2. Frank Höppner
   Handling Feature Ambiguity in Knowledge Discovery from Time Series. [Citation Graph (0, 0)][DBLP]
   Discovery Science, 2002, pp:398-405 [Conf]
   
3. Frank Höppner
   Discovery of Core Episodes from Sequences. [Citation Graph (0, 0)][DBLP]
   Pattern Detection and Discovery, 2002, pp:199-213 [Conf]
   
4. Frank Höppner
   Time Series Abstraction Methods - A Survey. [Citation Graph (0, 0)][DBLP]
   GI Jahrestagung, 2002, pp:777-786 [Conf]
   
5. Frank Höppner, Frank Klawonn
   Finding Informative Rules in Interval Sequences. [Citation Graph (0, 0)][DBLP]
   IDA, 2001, pp:125-134 [Conf]
   
6. Frank Klawonn, Frank Höppner
   What Is Fuzzy about Fuzzy Clustering? Understanding and Improving the Concept of the Fuzzifier. [Citation Graph (0, 0)][DBLP]
   IDA, 2003, pp:254-264 [Conf]
   
7. Frank Klawonn, Frank Höppner
   Equi-sized, Homogeneous Partitioning. [Citation Graph (0, 0)][DBLP]
   KES (2), 2006, pp:70-77 [Conf]
   
8. Frank Höppner
   Discovery of Temporal Patterns. Learning Rules about the Qualitative Behaviour of Time Series. [Citation Graph (0, 0)][DBLP]
   PKDD, 2001, pp:192-203 [Conf]
   
9. Frank Höppner
   Speeding up fuzzy c-means: using a hierarchical data organisation to control the precision of membership calculation. [Citation Graph (0, 0)][DBLP]
   Fuzzy Sets and Systems, 2002, v:128, n:3, pp:365-376 [Journal]
   
10. Frank Höppner, Frank Klawonn
    Finding informative rules in interval sequences. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2002, v:6, n:3, pp:237-255 [Journal]
    
11. Frank Höppner, Frank Klawonn
    Improved fuzzy partitions for fuzzy regression models. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2003, v:32, n:2-3, pp:85-102 [Journal]
    
12. Michael R. Berthold, Marco Ortolani, David E. Patterson, Frank Höppner, Ondine Callan, Heiko Hofer
    Fuzzy information granules in time series data. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2004, v:19, n:7, pp:607-618 [Journal]
    
13. Frank Höppner, Frank Klawonn, Patrik Eklund
    Learning indistinguishability from data. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2002, v:6, n:1, pp:6-13 [Journal]
    
14. Katharina Tschumitschew, Frank Klawonn, Frank Höppner, Vitaliy Kolodyazhniy
    Landscape Multidimensional Scaling. [Citation Graph (0, 0)][DBLP]
    IDA, 2007, pp:263-273 [Conf]
    
15. Frank Höppner, Mirko Böttcher
    Matching Partitions over Time to Reliably Capture Local Clusters in Noisy Domains. [Citation Graph (0, 0)][DBLP]
    PKDD, 2007, pp:479-486 [Conf]
    
16. 
    Reliably Capture Local Clusters in Noisy Domains From Parallel Universes. [Citation Graph (, )][DBLP]
    
    
17. 
    Compensation of Translational Displacement in Time Series Clustering Using Cross Correlation. [Citation Graph (, )][DBLP]
    
    
18. 
    Classification Based on the Trace of Variables over Time. [Citation Graph (, )][DBLP]
    
    
19. 
    Obtaining interpretable fuzzy models from fuzzy clustering and fuzzy regression. [Citation Graph (, )][DBLP]
    
    
20. 
    How Much True Structure Has Been Discovered? [Citation Graph (, )][DBLP]
    
    
21. 
    An alternative approach to the fuzzifier in fuzzy clustering to obtain better clustering. [Citation Graph (, )][DBLP]
    
    
22. 
    Objective Function-based Discretization. [Citation Graph (, )][DBLP]