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} }