Learning sequential classifiers from long and noisy discrete-event sequences efficiently
Crossref DOI link: https://doi.org/10.1007/s10618-014-0391-9
Published Online: 2014-11-04
Published Print: 2015-11
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Dafé, Gessé
Veloso, Adriano
Zaki, Mohammed
Meira, Wagner Jr.
Text and Data Mining valid from 2014-11-04
Article History
Received: 2 March 2014
Accepted: 18 October 2014
First Online: 4 November 2014