[{"date_created":"2022-05-02T15:33:18Z","title":"Least Squares Approach for Multivariate Split Selection in Regression Trees","main_file_link":[{"url":"https://link.springer.com/content/pdf/10.1007/978-3-030-62362-3_5.pdf"}],"user_id":"220548","type":"conference","publication_identifier":{"issn":["0302-9743"],"isbn":["978-3-030-62361-6"],"eissn":["1611-3349"],"eisbn":["978-3-030-62362-3"]},"keyword":["Industry 4.0","Interpretability","Curse of dimensionality","Oblique Regression Trees","Mixed Regression Trees","CART"],"publication_status":"published","series_title":"Lecture Notes in Computer Science","publication":"Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I","status":"public","conference":{"name":"International Conference on Intelligent Data Engineering and Automated Learning","location":"Guimaraes, Portugal","start_date":"2020-11-04","end_date":"2020-11-06"},"citation":{"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} }","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","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.","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>","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>.","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>.","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."},"author":[{"last_name":"Schöne","full_name":"Schöne, Marvin","first_name":"Marvin","id":"218388"},{"last_name":"Kohlhase","full_name":"Kohlhase, Martin","orcid":"0009-0002-9374-0720","id":"226669","first_name":"Martin"}],"place":"Cham","date_updated":"2026-03-17T15:28:26Z","page":"41-50","publisher":"Springer International Publishing","doi":"10.1007/978-3-030-62362-3_5","language":[{"iso":"eng"}],"_id":"1916","editor":[{"full_name":"Analide, Cesar","last_name":"Analide","first_name":"Cesar"},{"full_name":"Novais, Paulo","last_name":"Novais","first_name":"Paulo"},{"first_name":"David","full_name":"Camacho, David","last_name":"Camacho"},{"first_name":"Hujun","last_name":"Yin","full_name":"Yin, Hujun"}],"year":"2020"}]