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}
}