---
_id: '1916'
author:
- first_name: Marvin
  full_name: Schöne, Marvin
  id: '218388'
  last_name: Schöne
- first_name: Martin
  full_name: Kohlhase, Martin
  id: '226669'
  last_name: Kohlhase
  orcid: 0009-0002-9374-0720
citation:
  alphadin: '<span style="font-variant:small-caps;">Schöne, Marvin</span> ; <span
    style="font-variant:small-caps;">Kohlhase, Martin</span>: Least Squares Approach
    for Multivariate Split Selection in Regression Trees. In: <span style="font-variant:small-caps;">Analide,
    C.</span> ; <span style="font-variant:small-caps;">Novais, P.</span> ; <span style="font-variant:small-caps;">Camacho,
    D.</span> ; <span style="font-variant:small-caps;">Yin, H.</span> (Hrsg.): <i>Intelligent
    Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference,
    Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I</i>, <i>Lecture Notes
    in Computer Science</i>. Cham : Springer International Publishing, 2020, S. 41–50'
  ama: 'Schöne M, Kohlhase M. Least Squares Approach for Multivariate Split Selection
    in Regression Trees. In: Analide C, Novais P, Camacho D, Yin H, eds. <i>Intelligent
    Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference,
    Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I</i>. Lecture Notes
    in Computer Science. Cham: Springer International Publishing; 2020:41-50. doi:<a
    href="https://doi.org/10.1007/978-3-030-62362-3_5">10.1007/978-3-030-62362-3_5</a>'
  apa: 'Schöne, M., &#38; Kohlhase, M. (2020). Least Squares Approach for Multivariate
    Split Selection in Regression Trees. In C. Analide, P. Novais, D. Camacho, &#38;
    H. Yin (Eds.), <i>Intelligent Data Engineering and Automated Learning – IDEAL
    2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020,
    Proceedings, Part I</i> (pp. 41–50). Cham: Springer International Publishing.
    <a href="https://doi.org/10.1007/978-3-030-62362-3_5">https://doi.org/10.1007/978-3-030-62362-3_5</a>'
  bibtex: '@inproceedings{Schöne_Kohlhase_2020, place={Cham}, series={Lecture Notes
    in Computer Science}, title={Least Squares Approach for Multivariate Split Selection
    in Regression Trees}, DOI={<a href="https://doi.org/10.1007/978-3-030-62362-3_5">10.1007/978-3-030-62362-3_5</a>},
    booktitle={Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st
    International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings,
    Part I}, publisher={Springer International Publishing}, author={Schöne, Marvin
    and Kohlhase, Martin}, editor={Analide, Cesar and Novais, Paulo and Camacho, David
    and Yin, HujunEditors}, year={2020}, pages={41–50}, collection={Lecture Notes
    in Computer Science} }'
  chicago: 'Schöne, Marvin, and Martin Kohlhase. “Least Squares Approach for Multivariate
    Split Selection in Regression Trees.” In <i>Intelligent Data Engineering and Automated
    Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November
    4–6, 2020, Proceedings, Part I</i>, edited by Cesar Analide, Paulo Novais, David
    Camacho, and Hujun Yin, 41–50. Lecture Notes in Computer Science. Cham: Springer
    International Publishing, 2020. <a href="https://doi.org/10.1007/978-3-030-62362-3_5">https://doi.org/10.1007/978-3-030-62362-3_5</a>.'
  ieee: M. Schöne and M. Kohlhase, “Least Squares Approach for Multivariate Split
    Selection in Regression Trees,” in <i>Intelligent Data Engineering and Automated
    Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November
    4–6, 2020, Proceedings, Part I</i>, Guimaraes, Portugal, 2020, pp. 41–50.
  mla: Schöne, Marvin, and Martin Kohlhase. “Least Squares Approach for Multivariate
    Split Selection in Regression Trees.” <i>Intelligent Data Engineering and Automated
    Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November
    4–6, 2020, Proceedings, Part I</i>, edited by Cesar Analide et al., Springer International
    Publishing, 2020, pp. 41–50, doi:<a href="https://doi.org/10.1007/978-3-030-62362-3_5">10.1007/978-3-030-62362-3_5</a>.
  short: 'M. Schöne, M. Kohlhase, in: C. Analide, P. Novais, D. Camacho, H. Yin (Eds.),
    Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International
    Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I, Springer
    International Publishing, Cham, 2020, pp. 41–50.'
conference:
  end_date: 2020-11-06
  location: Guimaraes, Portugal
  name: International Conference on Intelligent Data Engineering and Automated Learning
  start_date: 2020-11-04
date_created: 2022-05-02T15:33:18Z
date_updated: 2026-03-17T15:28:26Z
doi: 10.1007/978-3-030-62362-3_5
editor:
- first_name: Cesar
  full_name: Analide, Cesar
  last_name: Analide
- first_name: Paulo
  full_name: Novais, Paulo
  last_name: Novais
- first_name: David
  full_name: Camacho, David
  last_name: Camacho
- first_name: Hujun
  full_name: Yin, Hujun
  last_name: Yin
keyword:
- Industry 4.0
- Interpretability
- Curse of dimensionality
- Oblique Regression Trees
- Mixed Regression Trees
- CART
language:
- iso: eng
main_file_link:
- url: https://link.springer.com/content/pdf/10.1007/978-3-030-62362-3_5.pdf
page: 41-50
place: Cham
publication: Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st
  International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings,
  Part I
publication_identifier:
  eisbn:
  - 978-3-030-62362-3
  eissn:
  - 1611-3349
  isbn:
  - 978-3-030-62361-6
  issn:
  - 0302-9743
publication_status: published
publisher: Springer International Publishing
series_title: Lecture Notes in Computer Science
status: public
title: Least Squares Approach for Multivariate Split Selection in Regression Trees
type: conference
user_id: '220548'
year: '2020'
...