Tuned Data Mining in R
Die Suche nach den besten Parametern für Data Mining Modelle bezeichnet man als "Parameter Tuning" oder kurz "Tuning". Das R-Package TDMR unterstützt den Anwender bei der Suche nach diesen Parametern.
TDMR wurde im Rahmen des Projektes SOMA von Wolfgang Konen und Patrick Koch entwickelt.
Download TDMR from CRAN
Ein Tutorial zu TDMR (in Englisch) führt in die Benutzung ein.
Die TDMR-Dokumentation (in Englisch) erklärt mehr Details zu TDMR.
Mehr Informationen auf der CIOP-Webseite TDMR (in Englisch).
Publikationen TDMR
2018
Konen, Wolfgang; Koch, Patrick
The TDMR 2.0 Package: Tuned Data Mining in R Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, Nr. 02/2018, 2018, (Last update: April 2018 (original version: 2012)).
@techreport{Kone18a,
title = {The TDMR 2.0 Package: Tuned Data Mining in R},
author = {Wolfgang Konen and Patrick Koch},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Kone12a.d/Kone12a.pdf},
year = {2018},
date = {2018-04-01},
number = {02/2018},
address = {Cologne University of Applied Science, Faculty of Computer Science and Engineering Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
note = {Last update: April 2018 (original version: 2012)},
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pubstate = {published},
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Konen, Wolfgang; Koch, Patrick
The TDMR 2.0 Tutorial: Examples for Tuned Data Mining in R Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, Nr. 03/2018, 2018, (Last update: April 2018 (original version: 2012)).
@techreport{Kone18b,
title = {The TDMR 2.0 Tutorial: Examples for Tuned Data Mining in R},
author = {Wolfgang Konen and Patrick Koch},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Kone12b.d/Kone12b.pdf},
year = {2018},
date = {2018-04-01},
number = {03/2018},
address = {Cologne University of Applied Science, Faculty of Computer Science and Engineering Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
note = {Last update: April 2018 (original version: 2012)},
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pubstate = {published},
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2015
Stork, Jörg; Ramos, Ricardo; Koch, Patrick; Konen, Wolfgang
SVM ensembles are better when different kernel types are combined Book Section
In: Lausen, Berthold; Krolak-Schwerdt, Sabine (Hrsg.): Data Science, Learning by Latent Structures, and Knowledge Discovery, S. 191–201, Springer, 2015.
@incollection{stork15,
title = {SVM ensembles are better when different kernel types are combined},
author = { Jörg Stork and Ricardo Ramos and Patrick Koch and Wolfgang Konen},
editor = {Lausen, Berthold and Krolak-Schwerdt, Sabine},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/storkECDA-2013.pdf},
year = {2015},
date = {2015-01-01},
booktitle = {Data Science, Learning by Latent Structures, and Knowledge Discovery},
pages = {191--201},
publisher = {Springer},
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Koch, Patrick; Wagner, Tobias; Emmerich, Michael T. M.; Bäck, Thomas; Konen, Wolfgang
Efficient multi-criteria optimization on noisy machine learning problems Journal Article
In: Applied Soft Computing, Bd. 29, S. 357-370, 2015.
@article{Koch14,
title = {Efficient multi-criteria optimization on noisy machine learning problems},
author = { Patrick Koch and Tobias Wagner and Michael T. M. Emmerich and Thomas Bäck and Wolfgang Konen},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/Koch2015a-ASOC.pdf},
doi = {https://doi.org/10.1016/j.asoc.2015.01.005},
year = {2015},
date = {2015-00-01},
journal = {Applied Soft Computing},
volume = {29},
pages = {357-370},
keywords = {},
pubstate = {published},
tppubtype = {article}
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2013
Koch, Patrick; Konen, Wolfgang
Subsampling strategies in SVM ensembles Proceedings Article
In: Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 23. Workshop Computational Intelligence, S. 119–134, Universitätsverlag Karlsruhe, 2013.
@inproceedings{Koch13a,
title = {Subsampling strategies in SVM ensembles},
author = { Patrick Koch and Wolfgang Konen},
editor = {Hoffmann, Frank and Hüllermeier, Eyke},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/kochGMA2013.pdf},
year = {2013},
date = {2013-01-01},
booktitle = {Proceedings 23. Workshop Computational Intelligence},
pages = {119--134},
publisher = {Universitätsverlag Karlsruhe},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
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Stork, Jörg; Ramos, Ricardo; Koch, Patrick; Konen, Wolfgang
SVM ensembles are better when different kernel types are combined Proceedings Article
In: Lausen, Berthold (Hrsg.): European Conference on Data Analysis (ECDA13), GfKl, 2013.
@inproceedings{stork13a,
title = {SVM ensembles are better when different kernel types are combined},
author = { Jörg Stork and Ricardo Ramos and Patrick Koch and Wolfgang Konen},
editor = {Lausen, Berthold},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/storkECDA-2013.pdf},
year = {2013},
date = {2013-01-01},
booktitle = {European Conference on Data Analysis (ECDA13)},
publisher = {GfKl},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
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2012
Konen, Wolfgang; Koch, Patrick
The TDMR Package: Tuned Data Mining in R Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, Nr. 02/2012, 2012, (Last update: June 2017).
@techreport{Kone12ab,
title = {The TDMR Package: Tuned Data Mining in R},
author = {Wolfgang Konen and Patrick Koch},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Kone12a.d/Kone12a-V2017-07.pdf},
year = {2012},
date = {2012-11-01},
number = {02/2012},
address = {Cologne University of Applied Science, Faculty of Computer Science and Engineering Science},
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Konen, Wolfgang; Koch, Patrick
The TDMR Tutorial: Examples for Tuned Data Mining in R Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, Nr. 03/2012, 2012, (Last update: May, 2016).
@techreport{Kone12bb,
title = {The TDMR Tutorial: Examples for Tuned Data Mining in R},
author = {Wolfgang Konen and Patrick Koch},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Kone12b.d/Kone12b-V2016-05.pdf},
year = {2012},
date = {2012-11-01},
number = {03/2012},
address = {Cologne University of Applied Science, Faculty of Computer Science and Engineering Science},
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note = {Last update: May, 2016},
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Koch, Patrick; Konen, Wolfgang
Efficient sampling and handling of variance in tuning data mining models Proceedings Article
In: Coello Coello, Carlos; Cutello, Vincenzo; others, (Hrsg.): PPSN'2012: 12th International Conference on Parallel Problem Solving From Nature, Taormina, S. 195–205, Springer, Heidelberg, 2012.
@inproceedings{Koch12a,
title = {Efficient sampling and handling of variance in tuning data mining models},
author = { Patrick Koch and Wolfgang Konen},
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Koch, Patrick; Bischl, Bernd; Flasch, Oliver; Bartz-Beielstein, Thomas; Weihs, Claus; Konen, Wolfgang
Tuning and Evolution of Support Vector Kernels Journal Article
In: Evolutionary Intelligence, Bd. 5, S. 153–170, 2012.
@article{Koch11aa,
title = {Tuning and Evolution of Support Vector Kernels},
author = { Patrick Koch and Bernd Bischl and Oliver Flasch and Thomas Bartz-Beielstein and Claus Weihs and Wolfgang Konen},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/Koch11a-EvolIntel.pdf},
year = {2012},
date = {2012-01-01},
journal = {Evolutionary Intelligence},
volume = {5},
pages = {153--170},
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2011
Konen, Wolfgang
Self-configuration from a Machine-Learning Perspective Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, Nr. 05/11; arXiv: 1105.1951, 2011, ISSN: 2191-365X, (e-print published at http://arxiv.org/abs/1105.1951 and Dagstuhl Preprint Archive, Workshop 11181 "Organic Computing -- Design of Self-Organizing Systems").
@techreport{Kone11c,
title = {Self-configuration from a Machine-Learning Perspective},
author = { Wolfgang Konen},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Kone11c.d/Kone11c.pdf},
issn = {2191-365X},
year = {2011},
date = {2011-05-01},
number = {05/11; arXiv: 1105.1951},
address = {Cologne University of Applied Science, Faculty of Computer Science and Engineering Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
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Koch, Patrick; Bischl, Bernd; Flasch, Oliver; Bartz-Beielstein, Thomas; Konen, Wolfgang
On the Tuning and Evolution of Support Vector Kernels Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Scienceand Engineering Science, Nr. 04/11, 2011, ISSN: 2191-365X.
@techreport{Koch11a,
title = {On the Tuning and Evolution of Support Vector Kernels},
author = { Patrick Koch and Bernd Bischl and Oliver Flasch and Thomas Bartz-Beielstein and Wolfgang Konen},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Koch11a.d/svmTuning.pdf},
issn = {2191-365X},
year = {2011},
date = {2011-03-01},
number = {04/11},
address = {Cologne University of Applied Science, Faculty of Computer Scienceand Engineering Science},
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Konen, Wolfgang; Koch, Patrick; Flasch, Oliver; Bartz-Beielstein, Thomas; Friese, Martina; Naujoks, Boris
Tuned Data Mining: A Benchmark Study on Different Tuners Technical Report
Cologne University of Applied Sciences Nr. 03/11, 2011.
@techreport{Kone11b,
title = {Tuned Data Mining: A Benchmark Study on Different Tuners},
author = { Wolfgang Konen and Patrick Koch and Oliver Flasch and Thomas Bartz-Beielstein and Martina Friese and Boris Naujoks},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Kone11b.d/tdm-cioprep.pdf},
year = {2011},
date = {2011-02-01},
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Friese, Martina; Zaefferer, Martin; Bartz-Beielstein, Thomas; Flasch, Oliver; Koch, Patrick; Konen, Wolfgang; Naujoks, Boris
Ensemble Based Optimization and Tuning Algorithms Proceedings Article
In: Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 21. Workshop Computational Intelligence, S. 119–134, Universitätsverlag Karlsruhe, 2011.
@inproceedings{Frie11a,
title = {Ensemble Based Optimization and Tuning Algorithms},
author = { Martina Friese and Martin Zaefferer and Thomas Bartz-Beielstein and Oliver Flasch and Patrick Koch and Wolfgang Konen and Boris Naujoks},
editor = {Hoffmann, Frank and Hüllermeier, Eyke},
year = {2011},
date = {2011-01-01},
booktitle = {Proceedings 21. Workshop Computational Intelligence},
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Koch, Patrick; Konen, Wolfgang; Naujoks, Boris; Flasch, Oliver; Friese, Martina; Zaefferer, Martin; Bartz-Beielstein, Thomas
Tuned Data Mining in R Proceedings Article
In: Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 21. Workshop Computational Intelligence, S. 147–160, Universitätsverlag Karlsruhe, 2011.
@inproceedings{Koch11b,
title = {Tuned Data Mining in R},
author = { Patrick Koch and Wolfgang Konen and Boris Naujoks and Oliver Flasch and Martina Friese and Martin Zaefferer and Thomas Bartz-Beielstein},
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url = {http://www.gm.fh-koeln.de/~konen/Publikationen/Koch11b.pdf},
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Konen, Wolfgang; Koch, Patrick; Flasch, Oliver; Bartz-Beielstein, Thomas; Friese, Martina; Naujoks, Boris
Tuned Data Mining: A Benchmark Study on Different Tuners Proceedings Article
In: Krasnogor, Natalio (Hrsg.): GECCO '11: Proceedings of the 13th Annual Conference on Genetic andEvolutionary Computation, S. 1995–2002, 2011.
@inproceedings{Kone11d,
title = {Tuned Data Mining: A Benchmark Study on Different Tuners},
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2010
Koch, Patrick; Konen, Wolfgang; Flasch, Oliver; Bartz-Beielstein, Thomas
Optimizing Support Vector Machines for Stormwater Prediction Proceedings Article
In: Bartz-Beielstein, Thomas; Chiarandini, M.; Paquete, L.; Preuss, Mike (Hrsg.): Proceedings of Workshop on Experimental Methods for the Assessment of Computational Systems joint to PPSN2010, S. 47–59, TU Dortmund, 2010.
@inproceedings{Koch10b,
title = {Optimizing Support Vector Machines for Stormwater Prediction},
author = { Patrick Koch and Wolfgang Konen and Oliver Flasch and Thomas Bartz-Beielstein},
editor = {Bartz-Beielstein, Thomas and Chiarandini, M. and Paquete, L. and Preuss, Mike},
url = {ls11-www.cs.tu-dortmund.de/_media/techreports/tr10-07.pdf},
year = {2010},
date = {2010-01-01},
booktitle = {Proceedings of Workshop on Experimental Methods for the Assessment of Computational Systems joint to PPSN2010},
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pages = {47--59},
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Koch, Patrick; Konen, Wolfgang; Flasch, Oliver; Bartz-Beielstein, Thomas
Optimization of Support Vector Regression Models for Stormwater Prediction Proceedings Article
In: Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 20. Workshop Computational Intelligence, S. 146–160, Universitätsverlag Karlsruhe, 2010.
@inproceedings{Koch10c,
title = {Optimization of Support Vector Regression Models for Stormwater Prediction},
author = { Patrick Koch and Wolfgang Konen and Oliver Flasch and Thomas Bartz-Beielstein},
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booktitle = {Proceedings 20. Workshop Computational Intelligence},
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Konen, Wolfgang; Koch, Patrick; Flasch, Oliver; Bartz-Beielstein, Thomas
Parameter-Tuned Data Mining: A General Framework Proceedings Article
In: Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 20. Workshop Computational Intelligence, Universitätsverlag Karlsruhe, 2010.
@inproceedings{Kone10a,
title = {Parameter-Tuned Data Mining: A General Framework},
author = { Wolfgang Konen and Patrick Koch and Oliver Flasch and Thomas Bartz-Beielstein},
editor = {Hoffmann, Frank and Hüllermeier, Eyke},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/GMACI10_tunedDM.pdf},
year = {2010},
date = {2010-01-01},
booktitle = {Proceedings 20. Workshop Computational Intelligence},
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2009
Konen, Wolfgang; Zimmer, Tobias; Bartz-Beielstein, Thomas
Optimized Modelling of Fill Levels in Stormwater Tanks Using CI-based Parameter Selection Schemes (in german) Journal Article
In: at-Automatisierungstechnik, Bd. 57, Nr. 3, S. 155–166, 2009.
@article{Kone09b,
title = {Optimized Modelling of Fill Levels in Stormwater Tanks Using CI-based Parameter Selection Schemes (in german)},
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