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A scalable decision-tree-based method to explain interactions in dyadic data

Author:
Eiras Franco, C.; Guijarro Berdiñas, B.; Alonso Betanzos, A.; Bahamonde Rionda, AntonioUniovi authority
Publication date:
2019
Publisher version:
http://dx.doi.org/10.1016/j.dss.2019.113141
Citación:
Decision Support Systems, 127, p. 113141- (2019); doi:10.1016/j.dss.2019.113141
Descripción física:
p. 113141-
URI:
http://hdl.handle.net/10651/53678
ISSN:
0167-9236
DOI:
10.1016/j.dss.2019.113141
Patrocinado por:

This research has been supported in part by the Spanish Ministerio de Economía y Competitividad (projects TIN 2015-65069-C2-1-R and 2-R), partially funded by FEDER funds of the EU and by the Xunta de Galicia (projects ED431C 2018/34 and Centro Singular de Investigación de Galicia, accreditation 2016–2019). The authors wish to thank the Fundación Pública Galega Centro Tecnolóxico de Supercomputación de Galicia (CESGA) for the use of their computing resources. We also thank Jorge Díez, Pablo Pérez and Oscar Luaces for providing the data needed to construct the (Outbrain_DAY1) dataset and for their assistance in an early stage of this project.

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