![[höher]](/style/images/multi_up.png)
Eine Ebene höherGruppiert nach:
Dokumententyp
| Veröffentlichungsdatum
Anzahl der Publikationen: 3
Zeitschriftenartikel
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
Buchbeitrag
Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818; Tornede, Alexander ORCID: https://orcid.org/0000-0002-2415-2186; Mohr, Felix und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(April 2020):
LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-label Classification.
In: Berthold, Michael; Feelders, Ad und Krempl, Georg (Hrsg.): (2020):
Advances in Intelligent Data Analysis XVIII. 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings. Lecture Notes in Computer Science, Bd. 12080. New York, NY: Association for Computing Machinery. S. 561-573
[PDF, 425kB]
ORCID: https://orcid.org/0000-0001-9782-6818; Tornede, Alexander ORCID: https://orcid.org/0000-0002-2415-2186; Mohr, Felix und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(April 2020):
LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-label Classification.
In: Berthold, Michael; Feelders, Ad und Krempl, Georg (Hrsg.): (2020):
Advances in Intelligent Data Analysis XVIII. 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings. Lecture Notes in Computer Science, Bd. 12080. New York, NY: Association for Computing Machinery. S. 561-573
[PDF, 425kB]
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