Knowledge discovery through symbolic regression with HeuristicLab

Gabriel Kronberger; Stefan Wagner; Michael Kommenda; Andreas Beham; Andreas Scheibenpflug; Michael Affenzeller

doi:10.1007/978-3-642-33486-3_56

Knowledge discovery through symbolic regression with HeuristicLab

Gabriel Kronberger, Stefan Wagner, Michael Kommenda, Andreas Beham, Andreas Scheibenpflug, Michael Affenzeller

Research Center Hagenberg

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

This contribution describes how symbolic regression can be used for knowledge discovery with the open-source software HeuristicLab. HeuristicLab includes a large set of algorithms and problems for combinatorial optimization and for regression and classification, including symbolic regression with genetic programming. It provides a rich GUI to analyze and compare algorithms and identified models. This contribution mainly focuses on specific aspects of symbolic regression that are unique to HeuristicLab, in particular, the identification of relevant variables and model simplification.

Original language	English
Title of host publication	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Proceedings
Pages	824-827
Number of pages	4
Volume	7524
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-33486-3_56
Publication status	Published - 2012
Event	2012 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2012 - Bristol, United Kingdom Duration: 24 Sept 2012 → 28 Sept 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	7524 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2012 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2012
Country/Territory	United Kingdom
City	Bristol
Period	24.09.2012 → 28.09.2012

Access to Document

10.1007/978-3-642-33486-3_56

Cite this

Kronberger, G., Wagner, S., Kommenda, M., Beham, A., Scheibenpflug, A., & Affenzeller, M. (2012). Knowledge discovery through symbolic regression with HeuristicLab. In Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Proceedings (PART 2 ed., Vol. 7524, pp. 824-827). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7524 LNAI, No. PART 2). https://doi.org/10.1007/978-3-642-33486-3_56

Kronberger, Gabriel ; Wagner, Stefan ; Kommenda, Michael et al. / Knowledge discovery through symbolic regression with HeuristicLab. Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Proceedings. Vol. 7524 PART 2. ed. 2012. pp. 824-827 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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title = "Knowledge discovery through symbolic regression with HeuristicLab",

abstract = "This contribution describes how symbolic regression can be used for knowledge discovery with the open-source software HeuristicLab. HeuristicLab includes a large set of algorithms and problems for combinatorial optimization and for regression and classification, including symbolic regression with genetic programming. It provides a rich GUI to analyze and compare algorithms and identified models. This contribution mainly focuses on specific aspects of symbolic regression that are unique to HeuristicLab, in particular, the identification of relevant variables and model simplification.",

author = "Gabriel Kronberger and Stefan Wagner and Michael Kommenda and Andreas Beham and Andreas Scheibenpflug and Michael Affenzeller",

note = "Copyright: Copyright 2012 Elsevier B.V., All rights reserved.; 2012 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2012 ; Conference date: 24-09-2012 Through 28-09-2012",

year = "2012",

doi = "10.1007/978-3-642-33486-3_56",

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isbn = "9783642334856",

volume = "7524",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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edition = "PART 2",

}

Kronberger, G , Wagner, S, Kommenda, M, Beham, A, Scheibenpflug, A & Affenzeller, M 2012, Knowledge discovery through symbolic regression with HeuristicLab. in Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Proceedings. PART 2 edn, vol. 7524, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 7524 LNAI, pp. 824-827, 2012 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2012, Bristol, United Kingdom, 24.09.2012. https://doi.org/10.1007/978-3-642-33486-3_56

Knowledge discovery through symbolic regression with HeuristicLab. / Kronberger, Gabriel ; Wagner, Stefan; Kommenda, Michael et al.
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Proceedings. Vol. 7524 PART 2. ed. 2012. p. 824-827 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7524 LNAI, No. PART 2).

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

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AU - Scheibenpflug, Andreas

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PY - 2012

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DO - 10.1007/978-3-642-33486-3_56

M3 - Conference contribution

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VL - 7524

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Proceedings

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Kronberger G , Wagner S, Kommenda M, Beham A, Scheibenpflug A, Affenzeller M. Knowledge discovery through symbolic regression with HeuristicLab. In Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Proceedings. PART 2 ed. Vol. 7524. 2012. p. 824-827. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-33486-3_56

Knowledge discovery through symbolic regression with HeuristicLab

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