Tuned Data Mining in R

The search for the best parameters in data mining models is known as "parameter tuning" or "tuning". The R-Package TDMR supports the data mining expert and the data mining practioner in this endeavour.

TDMR was developed in the framework of the research project  SOMA by Wolfgang Konen und Patrick Koch.


Download TDMR from CRAN

 

A tutorial for TDMR is available here.

The TDMR-documentation explains more details about TDMR.

More information on TDMR on the CIOP webpage TDMR.

 

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, (02/2018), 2018, (Last update: April 2018 (original version: 2012)).

Links | BibTeX

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, (03/2018), 2018, (Last update: April 2018 (original version: 2012)).

Links | BibTeX

2015

Stork, Jörg; Ramos, Ricardo; Koch, Patrick; Konen, Wolfgang

SVM ensembles are better when different kernel types are combined Incollection

Lausen, Berthold ; Krolak-Schwerdt, Sabine (Ed.): Data Science, Learning by Latent Structures, and Knowledge Discovery, pp. 191–201, Springer, 2015.

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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

Applied Soft Computing, 29 , pp. 357-370, 2015.

Links | BibTeX

2013

Koch, Patrick; Konen, Wolfgang

Subsampling strategies in SVM ensembles Inproceedings

Hoffmann, Frank ; Hüllermeier, Eyke (Ed.): Proceedings 23. Workshop Computational Intelligence, pp. 119–134, Universitätsverlag Karlsruhe, 2013.

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Stork, Jörg; Ramos, Ricardo; Koch, Patrick; Konen, Wolfgang

SVM ensembles are better when different kernel types are combined Inproceedings

Lausen, Berthold (Ed.): European Conference on Data Analysis (ECDA13), GfKl, 2013.

Links | BibTeX

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, (02/2012), 2012, (Last update: June 2017).

Links | BibTeX

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, (03/2012), 2012, (Last update: May, 2016).

Links | BibTeX

Koch, Patrick; Konen, Wolfgang

Efficient sampling and handling of variance in tuning data mining models Inproceedings

Coello Coello, Carlos ; Cutello, Vincenzo ; others, (Ed.): PPSN'2012: 12th International Conference on Parallel Problem Solving From Nature, Taormina, pp. 195–205, Springer, Heidelberg, 2012.

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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

Evolutionary Intelligence, 5 , pp. 153–170, 2012.

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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, (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").

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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, (04/11), 2011, ISSN: 2191-365X.

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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 (03/11), 2011.

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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 Inproceedings

Hoffmann, Frank ; Hüllermeier, Eyke (Ed.): Proceedings 21. Workshop Computational Intelligence, pp. 119–134, Universitätsverlag Karlsruhe, 2011.

BibTeX

Koch, Patrick; Konen, Wolfgang; Naujoks, Boris; Flasch, Oliver; Friese, Martina; Zaefferer, Martin; Bartz-Beielstein, Thomas

Tuned Data Mining in R Inproceedings

Hoffmann, Frank ; Hüllermeier, Eyke (Ed.): Proceedings 21. Workshop Computational Intelligence, pp. 147–160, Universitätsverlag Karlsruhe, 2011.

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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 Inproceedings

Krasnogor, Natalio (Ed.): GECCO '11: Proceedings of the 13th Annual Conference on Genetic andEvolutionary Computation, pp. 1995–2002, 2011.

BibTeX

2010

Koch, Patrick; Konen, Wolfgang; Flasch, Oliver; Bartz-Beielstein, Thomas

Optimizing Support Vector Machines for Stormwater Prediction Inproceedings

Bartz-Beielstein, Thomas ; Chiarandini, M; Paquete, L; Preuss, Mike (Ed.): Proceedings of Workshop on Experimental Methods for the Assessment of Computational Systems joint to PPSN2010, pp. 47–59, TU Dortmund, 2010.

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Koch, Patrick; Konen, Wolfgang; Flasch, Oliver; Bartz-Beielstein, Thomas

Optimization of Support Vector Regression Models for Stormwater Prediction Inproceedings

Hoffmann, Frank ; Hüllermeier, Eyke (Ed.): Proceedings 20. Workshop Computational Intelligence, pp. 146–160, Universitätsverlag Karlsruhe, 2010.

BibTeX

Konen, Wolfgang; Koch, Patrick; Flasch, Oliver; Bartz-Beielstein, Thomas

Parameter-Tuned Data Mining: A General Framework Inproceedings

Hoffmann, Frank ; Hüllermeier, Eyke (Ed.): Proceedings 20. Workshop Computational Intelligence, Universitätsverlag Karlsruhe, 2010.

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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

at-Automatisierungstechnik, 57 (3), pp. 155–166, 2009.

Links | BibTeX