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Anzahl der Publikationen: 11
Zeitschriftenartikel
Shaker, Ammar und Hüllermeier, Eyke 
ORCID: https://orcid.org/0000-0002-9944-4108
(Juni 2021):
TSK-Streams: learning TSK fuzzy systems for regression on data streams.
In: Data Mining and Knowledge Discovery, Nr. 5: S. 1941-1971
ORCID: https://orcid.org/0000-0002-9944-4108
(Juni 2021):
TSK-Streams: learning TSK fuzzy systems for regression on data streams.
In: Data Mining and Knowledge Discovery, Nr. 5: S. 1941-1971
Shaker, Ammar und Hüllermeier, Eyke
(2021):
TSK-Streams: learning TSK fuzzy systems for regression on data streams.
In: Data Mining and Knowledge Discovery, Bd. 35, Nr. 5: S. 1941-1971
Platenius, Marie C.; Shaker, Ammar; Becker, Matthias; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Schafer, Wilhelm
(2017):
Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic.
In: IEEE Transactions on Software Engineering, Bd. 43, Nr. 8: S. 739-759
ORCID: https://orcid.org/0000-0002-9944-4108 und Schafer, Wilhelm
(2017):
Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic.
In: IEEE Transactions on Software Engineering, Bd. 43, Nr. 8: S. 739-759
Shaker, Ammar und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2015):
Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study.
In: Neurocomputing, Bd. 150, Nr. A: S. 250-264
ORCID: https://orcid.org/0000-0002-9944-4108
(2015):
Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study.
In: Neurocomputing, Bd. 150, Nr. A: S. 250-264
Krempl, Georg; Žliobaite, Indre; Brzeziński, Dariusz; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Last, Mark; Lemaire, Vincent; Noack, Tino; Shaker, Ammar; Sievi, Sonja; Spiliopoulou, Myra und Stefanowski, Jerzy
(2014):
Open challenges for data stream mining research.
In: ACM SIGKDD Explorations Newsletter, Bd. 16, Nr. 1: S. 1-10
ORCID: https://orcid.org/0000-0002-9944-4108; Last, Mark; Lemaire, Vincent; Noack, Tino; Shaker, Ammar; Sievi, Sonja; Spiliopoulou, Myra und Stefanowski, Jerzy
(2014):
Open challenges for data stream mining research.
In: ACM SIGKDD Explorations Newsletter, Bd. 16, Nr. 1: S. 1-10
Shaker, Ammar und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2014):
Survival analysis on data streams: Analyzing temporal events in dynamically changing environments.
In: International Journal of Applied Mathematics and Computer Science, Bd. 24, Nr. 1: S. 199-212
[PDF, 506kB]
ORCID: https://orcid.org/0000-0002-9944-4108
(2014):
Survival analysis on data streams: Analyzing temporal events in dynamically changing environments.
In: International Journal of Applied Mathematics and Computer Science, Bd. 24, Nr. 1: S. 199-212
[PDF, 506kB]
Shaker, Ammar; Senge, Robin und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2013):
Evolving fuzzy pattern trees for binary classification on data streams.
In: Information Sciences, Bd. 220: S. 34-45
ORCID: https://orcid.org/0000-0002-9944-4108
(2013):
Evolving fuzzy pattern trees for binary classification on data streams.
In: Information Sciences, Bd. 220: S. 34-45
Shaker, Ammar und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2012):
IBLStreams: a system for instance-based classification and regression on data streams.
In: Evolving Systems, Bd. 3, Nr. 4: S. 235-249
ORCID: https://orcid.org/0000-0002-9944-4108
(2012):
IBLStreams: a system for instance-based classification and regression on data streams.
In: Evolving Systems, Bd. 3, Nr. 4: S. 235-249
Buchbeitrag
Shaker, Ammar; Heldt, Waleri und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2017):
Learning TSK Fuzzy Rules from Data Streams.
In: Ceci, Michelangelo; Hollmén, Jaakko; Džeroski, Sašo; Todorovsk, Ljupčo; Vens, Celine und Džeroski, Sašo (Hrsg.):
Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part II. Lecture Notes in Computer Science, Bd. 10535. S. 559-574
ORCID: https://orcid.org/0000-0002-9944-4108
(2017):
Learning TSK Fuzzy Rules from Data Streams.
In: Ceci, Michelangelo; Hollmén, Jaakko; Džeroski, Sašo; Todorovsk, Ljupčo; Vens, Celine und Džeroski, Sašo (Hrsg.):
Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part II. Lecture Notes in Computer Science, Bd. 10535. S. 559-574
Shaker, Ammar und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2013):
Recovery Analysis for Adaptive Learning from Non-stationary Data Streams.
In: Burduk, Robert; Jackowski, Konrad; Kurzynski, Marek; Wozniak, Michał und Zolnierek, Andrzej (Hrsg.):
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013. Advances in Intelligent Systems and Computing, Bd. 226. S. 289-298
ORCID: https://orcid.org/0000-0002-9944-4108
(2013):
Recovery Analysis for Adaptive Learning from Non-stationary Data Streams.
In: Burduk, Robert; Jackowski, Konrad; Kurzynski, Marek; Wozniak, Michał und Zolnierek, Andrzej (Hrsg.):
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013. Advances in Intelligent Systems and Computing, Bd. 226. S. 289-298
Konferenzbeitrag
Shaker, Ammar und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2013):
Event history analysis on data streams: An application to earthquake occurence.
RealStream 2013, 1st International Workshop on Real-World Challenges for Data Stream Mining, Prague, Czech Republic, September 27, 2013.
Krempl, Georg; Zliobaite, Indre; Wang, Yin und Forman, Georg (Hrsg.):
In: Real-World Challenges for Data Stream Mining : Proceedings of the 1st International Workshop on Real-World Challenges for Data Stream Mining, ReaiStream 2013,
Magdeburg: Universität Magdeburg. S. 38-41
ORCID: https://orcid.org/0000-0002-9944-4108
(2013):
Event history analysis on data streams: An application to earthquake occurence.
RealStream 2013, 1st International Workshop on Real-World Challenges for Data Stream Mining, Prague, Czech Republic, September 27, 2013.
Krempl, Georg; Zliobaite, Indre; Wang, Yin und Forman, Georg (Hrsg.):
In: Real-World Challenges for Data Stream Mining : Proceedings of the 1st International Workshop on Real-World Challenges for Data Stream Mining, ReaiStream 2013,
Magdeburg: Universität Magdeburg. S. 38-41