Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Conference Paper
%1 conf/dasfaa/LiuLCL19
%A Liu, Kun
%A Liu, Wenyan
%A Cheng, Junhong
%A Lu, Xingjian
%B DASFAA Workshops
%D 2019
%E Li, Guoliang
%E Yang, Jun
%E Gama, João
%E Natwichai, Juggapong
%E Tong, Yongxin
%I Springer
%K dblp
%P 19-33
%T UHRP: Uncertainty-Based Pruning Method for Anonymized Data Linear Regression.
%U http://dblp.uni-trier.de/db/conf/dasfaa/dasfaa2019w.html#LiuLCL19
%V 11448
%@ 978-3-030-18590-9
@inproceedings{conf/dasfaa/LiuLCL19,
added-at = {2023-10-19T00:00:00.000+0200},
author = {Liu, Kun and Liu, Wenyan and Cheng, Junhong and Lu, Xingjian},
biburl = {https://www.bibsonomy.org/bibtex/2a96a261862b6d37f71a5149b34b220d7/dblp},
booktitle = {DASFAA Workshops},
crossref = {conf/dasfaa/2019w},
editor = {Li, Guoliang and Yang, Jun and Gama, João and Natwichai, Juggapong and Tong, Yongxin},
ee = {https://doi.org/10.1007/978-3-030-18590-9_2},
interhash = {d675ef10b554ef7cf2ad6fb329320662},
intrahash = {a96a261862b6d37f71a5149b34b220d7},
isbn = {978-3-030-18590-9},
keywords = {dblp},
pages = {19-33},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2024-04-10T19:27:19.000+0200},
title = {UHRP: Uncertainty-Based Pruning Method for Anonymized Data Linear Regression.},
url = {http://dblp.uni-trier.de/db/conf/dasfaa/dasfaa2019w.html#LiuLCL19},
volume = 11448,
year = 2019
}