A scalable robust and automatic propositionalization approach for Bayesian classification of large mixed numerical and categorical data
Crossref DOI link: https://doi.org/10.1007/s10994-018-5746-9
Published Online: 2018-08-22
Published Print: 2019-02
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Boullé, Marc
Charnay, Clément
Lachiche, Nicolas https://orcid.org/0000-0003-4318-4252
Text and Data Mining valid from 2018-08-22
Article History
Received: 8 November 2016
Accepted: 9 July 2018
First Online: 22 August 2018