Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Conference Paper
%1 conf/bibm/ZhouYGWZGTRDZCLJW13
%A Zhou, Hongmei
%A Yang, Jing
%A Guo, Jinrui
%A Wang, Yahong
%A Zheng, Guang
%A Guo, Hongtao
%A Tan, Yong
%A Ren, Xiaoxia
%A Dong, Rongfen
%A Zhang, Jinrong
%A Cui, Zhaoli
%A Lu, Aiping
%A Jiang, Miao
%A Wang, Yaoxian
%B BIBM
%D 2013
%E Li, Guo-Zheng
%E Kim, Sunghoon
%E Hughes, Michael
%E McLachlan, Geoffrey J.
%E Sun, Hongye
%E Hu, Xiaohua
%E Ressom, Habtom W.
%E Liu, Baoyan
%E Liebman, Michael N.
%I IEEE Computer Society
%K dblp
%P 332-335
%T Rule-based text mining of traditional Chinese medicine patterns with Chinese herbal medicines and formulae on hypertension.
%U http://dblp.uni-trier.de/db/conf/bibm/bibm2013.html#ZhouYGWZGTRDZCLJW13
%@ 978-1-4799-1309-1
@inproceedings{conf/bibm/ZhouYGWZGTRDZCLJW13,
added-at = {2017-05-21T00:00:00.000+0200},
author = {Zhou, Hongmei and Yang, Jing and Guo, Jinrui and Wang, Yahong and Zheng, Guang and Guo, Hongtao and Tan, Yong and Ren, Xiaoxia and Dong, Rongfen and Zhang, Jinrong and Cui, Zhaoli and Lu, Aiping and Jiang, Miao and Wang, Yaoxian},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/274e86470cbc1637e5a96a1ce8682c360/dblp},
booktitle = {BIBM},
crossref = {conf/bibm/2013},
editor = {Li, Guo-Zheng and Kim, Sunghoon and Hughes, Michael and McLachlan, Geoffrey J. and Sun, Hongye and Hu, Xiaohua and Ressom, Habtom W. and Liu, Baoyan and Liebman, Michael N.},
ee = {http://doi.ieeecomputersociety.org/10.1109/BIBM.2013.6732708},
interhash = {1966288df6a5f25c812c05dff08266d2},
intrahash = {74e86470cbc1637e5a96a1ce8682c360},
isbn = {978-1-4799-1309-1},
keywords = {dblp},
pages = {332-335},
publisher = {IEEE Computer Society},
timestamp = {2019-09-27T16:46:08.000+0200},
title = {Rule-based text mining of traditional Chinese medicine patterns with Chinese herbal medicines and formulae on hypertension.},
url = {http://dblp.uni-trier.de/db/conf/bibm/bibm2013.html#ZhouYGWZGTRDZCLJW13},
year = 2013
}