Inproceedings,
A Region-based Training Data Segmentation Strategy to Credit Scoring.
R. Saia, S. Carta, G. Fenu, and L. Pompianu.SECRYPT, page 275-282. SCITEPRESS, (2022)
Meta data
- BibTeX key
- conf/secrypt/SaiaCFP22
- entry type
- inproceedings
- booktitle
- SECRYPT
- year
- 2022
- pages
- 275-282
- publisher
- SCITEPRESS
- crossref
- conf/secrypt/2022
- ee
- https://doi.org/10.5220/0011137400003283
- isbn
- 978-989-758-590-6
- url
- http://dblp.uni-trier.de/db/conf/secrypt/secrypt2022.html#SaiaCFP22
Tags
Users
Comments and Reviewsshow / hide
Cite this publication
More citation styles
- please select -%0 Conference Paper
%1 conf/secrypt/SaiaCFP22
%A Saia, Roberto
%A Carta, Salvatore
%A Fenu, Gianni
%A Pompianu, Livio
%B SECRYPT
%D 2022
%E di Vimercati, Sabrina De Capitani
%E Samarati, Pierangela
%I SCITEPRESS
%K dblp
%P 275-282
%T A Region-based Training Data Segmentation Strategy to Credit Scoring.
%U http://dblp.uni-trier.de/db/conf/secrypt/secrypt2022.html#SaiaCFP22
%@ 978-989-758-590-6
@inproceedings{conf/secrypt/SaiaCFP22,
added-at = {2022-08-04T00:00:00.000+0200},
author = {Saia, Roberto and Carta, Salvatore and Fenu, Gianni and Pompianu, Livio},
biburl = {https://www.bibsonomy.org/bibtex/29c45d7680d539b75033b06b01a119e88/dblp},
booktitle = {SECRYPT},
crossref = {conf/secrypt/2022},
editor = {di Vimercati, Sabrina De Capitani and Samarati, Pierangela},
ee = {https://doi.org/10.5220/0011137400003283},
interhash = {9d86750ff406e1585ff01e64b13e131c},
intrahash = {9c45d7680d539b75033b06b01a119e88},
isbn = {978-989-758-590-6},
keywords = {dblp},
pages = {275-282},
publisher = {SCITEPRESS},
timestamp = {2024-04-09T13:34:42.000+0200},
title = {A Region-based Training Data Segmentation Strategy to Credit Scoring.},
url = {http://dblp.uni-trier.de/db/conf/secrypt/secrypt2022.html#SaiaCFP22},
year = 2022
}