A Supervised Learning Framework for Prediction of Incompatible Herb Pair in Traditional Chinese Medicine.
Jiajing Zhu|Yongguo Liu|Shangming Yang|Shuangqing Zhai|Zhang Yi|Chuanbiao Wen
| Anthology ID: | DBLP:conf/cikm/ZhuLYZ0W18 |
|---|---|
| Volume: | Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018 |
| Year: | 2018 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1799-1802 |
| URL: | https://doi.org/10.1145/3269206.3269241 |
| DOI: | https://doi.org/10.1145/3269206.3269241 |
| DBLP: | conf/cikm/ZhuLYZ0W18 |
| BibTeX: |
@inproceedings{zhu-2018-supervised,
author = {Jiajing Zhu and
Yongguo Liu and
Shangming Yang and
Shuangqing Zhai and
Zhang Yi and
Chuanbiao Wen},
editor = {Alfredo Cuzzocrea and
James Allan and
Norman W. Paton and
Divesh Srivastava and
Rakesh Agrawal and
Andrei Z. Broder and
Mohammed J. Zaki and
K. Sel\c{c}uk Candan and
Alexandros Labrinidis and
Assaf Schuster and
Haixun Wang},
title = {{A Supervised Learning Framework for Prediction of Incompatible Herb Pair in Traditional Chinese Medicine}},
booktitle = {{Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018}},
pages = {1799--1802},
publisher = {ACM},
year = {2018},
url = {https://doi.org/10.1145/3269206.3269241},
doi = {https://doi.org/10.1145/3269206.3269241}
}