%0 Conference Paper %1 conf/eidwt/GaoZ17 %A Gao, Zhi-Qiang %A Zhang, Long-Jun %B EIDWT %D 2017 %E Barolli, Leonard %E Zhang, Mingwu %E Wang, Xu An %I Springer %K dblp %P 367-377 %T DPHKMS: An Efficient Hybrid Clustering Preserving Differential Privacy in Spark. %U http://dblp.uni-trier.de/db/conf/eidwt/eidwt2017.html#GaoZ17 %V 6 %@ 978-3-319-59463-7

@inproceedings{conf/eidwt/GaoZ17, added-at = {2017-09-05T00:00:00.000+0200}, author = {Gao, Zhi-Qiang and Zhang, Long-Jun}, biburl = {https://www.bibsonomy.org/bibtex/2a21dbba259a344100accc9aae4918e45/dblp}, booktitle = {EIDWT}, crossref = {conf/eidwt/2017}, editor = {Barolli, Leonard and Zhang, Mingwu and Wang, Xu An}, ee = {https://doi.org/10.1007/978-3-319-59463-7_37}, interhash = {a54e6f8cc83730d17414aaa41f0446ff}, intrahash = {a21dbba259a344100accc9aae4918e45}, isbn = {978-3-319-59463-7}, keywords = {dblp}, pages = {367-377}, publisher = {Springer}, series = {Lecture Notes on Data Engineering and Communications Technologies}, timestamp = {2024-04-10T00:51:15.000+0200}, title = {DPHKMS: An Efficient Hybrid Clustering Preserving Differential Privacy in Spark.}, url = {http://dblp.uni-trier.de/db/conf/eidwt/eidwt2017.html#GaoZ17}, volume = 6, year = 2017 }