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Ralf Klinkenberg
Ralf Klinkenberg
RapidMiner / Technical University of Dortmund
Verified email at ralf-klinkenberg.de - Homepage
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Cited by
Year
Yale: Rapid prototyping for complex data mining tasks
I Mierswa, M Wurst, R Klinkenberg, M Scholz, T Euler
Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006
16252006
RapidMiner: Data mining use cases and business analytics applications
R Klinkenberg
Chapman and Hall/CRC, 2013
795*2013
Detecting Concept Drift with Support Vector Machines.
R Klinkenberg, T Joachims
ICML, 487-494, 2000
6912000
Learning drifting concepts: Example selection vs. example weighting
R Klinkenberg
Intelligent Data Analysis 8 (3), 281-300, 2004
6542004
Adaptive information filtering: Learning drifting concepts
R Klinkenberg, I Renz
Proc. of AAAI-98/ICML-98 workshop Learning for Text Categorization, 33-40, 1998
266*1998
Boosting classifiers for drifting concepts
M Scholz, R Klinkenberg
Intelligent Data Analysis 11 (1), 3-28, 2007
1952007
An ensemble classifier for drifting concepts
M Scholz, R Klinkenberg
Proceedings of the Second International Workshop on Knowledge Discovery in …, 2005
1322005
Yale: Yet another learning environment
O Ritthoff, R Klinkenberg, S Fischer, I Mierswa, S Felske
LLWA 01-Tagungsband der GI-Workshop-Woche, Dortmund, Germany, 84-92, 2001
882001
Using labeled and unlabeled data to learn drifting concepts
R Klinkenberg
Workshop notes of the IJCAI-01 Workshop on Learning from Temporal and …, 2001
762001
A hybrid approach to feature selection and generation using an evolutionary algorithm
O Ritthof, R Klinkenberg, S Fischer, I Mierswa
UK Workshop on Computational Intelligence, 147-154, 2002
702002
Concept drift and the importance of examples
R Klinkenberg
Text mining–theoretical aspects and applications, 2003
672003
Yale: Yet Another Learning Environment–Tutorial
S Fischer, R Klinkenberg, I Mierswa, O Ritthoff
Colloborative Research Center 531, 2002
622002
Meta-Learning, Model Selection, and Example Selection in Machine Learning Domains with Concept Drift.
R Klinkenberg
LWA 2005, 164-171, 2005
462005
A flexible platform for knowledge discovery experiments: Yale–yet another learning environment
I Mierswa, R Klinkenberg, S Fischer, O Ritthoff
Proc. of LLWA 2003, 2, 2003
412003
Knowledge discovery from data streams
J Gama, J Aguilar-Ruiz, R Klinkenberg
Intelligent Data Analysis 12 (3), 251-252, 2008
282008
Defining Software Architectures for Big Data Enabled Operator Support Systems
B Klöpper, M Dix, L Schorer, A Ampofo, M Atzmueller, D Arnu, ...
Proc. IEEE International Conference on Industrial Informatics. IEEE, Boston …, 2016
192016
Data mining-supported generation of assembly process plans
R Wallis, O Erohin, R Klinkenberg, J Deuse, F Stromberger
Procedia Cirp 23, 178-183, 2014
192014
Predicting phases in business cycles under concept drift
R Klinkenberg
Proc. of LLWA, 3-10, 2003
132003
Yale: Yet another learning environment
S Fischer, R Klinkenberg, I Mierswa, O Ritthoff
HT014601767, 2003
132003
Learning drifting concepts with partial user feedback
R Klinkenberg
Beiträge zum Treffen der GI-Fachgruppe 1 (3), 44-53, 1999
131999
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