PMS: an Effective Approximation Approach for Distributed Large-scale Graph Data Processing and Mining.

Yingjie Cao|Yangyang Zhang|Jianxin Li


Anthology ID:DBLP:conf/cikm/CaoZL17
Volume:Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017
Year:2017
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:1999-2002
URL:https://doi.org/10.1145/3132847.3133087
DOI:https://doi.org/10.1145/3132847.3133087
DBLP:conf/cikm/CaoZL17
BibTeX:
@inproceedings{cao-2017-pms, author = {Yingjie Cao and Yangyang Zhang and Jianxin Li}, editor = {Ee-Peng Lim and Marianne Winslett and Mark Sanderson and Ada Wai-Chee Fu and Jimeng Sun and J. Shane Culpepper and Eric Lo and Joyce C. Ho and Debora Donato and Rakesh Agrawal and Yu Zheng and Carlos Castillo and Aixin Sun and Vincent S. Tseng and Chenliang Li}, title = {{PMS: an Effective Approximation Approach for Distributed Large-scale Graph Data Processing and Mining}}, booktitle = {{Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017}}, pages = {1999--2002}, publisher = {ACM}, year = {2017}, url = {https://doi.org/10.1145/3132847.3133087}, doi = {https://doi.org/10.1145/3132847.3133087} }