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NEW DRUG R&D OF TRADITIONAL CHINESE MEDICINE: ROLE OF DATA MINING APPROACHES 期刊论文
JOURNAL OF BIOLOGICAL SYSTEMS, 2009, 卷号: 17, 期号: 3, 页码: 329-347
作者:  Yang, Hongjun;  Chen, Jianxin;  Tang, Shihuan;  Li, Zhenkun;  Zhen, Yisong;  Huang, Luqi;  Yi, Jianqiang
Adobe PDF(293Kb)  |  收藏  |  浏览/下载：465/97  |  提交时间：2015/11/08
Drug Discovery  Traditional Chinese Medicine  Data Mining  Unsupervised Cluster  Supervised Regression  Formulae  Association  Mutual Information  
BUILDING AND EVALUATING AN ANIMAL MODEL FOR SYNDROME IN TRADITIONAL CHINESE MEDICINE IN THE CONTEXT OF UNSTABLE ANGINA (MYOCARDIAL ISCHEMIA) BY SUPERVISED DATA MINING APPROACHES 期刊论文
JOURNAL OF BIOLOGICAL SYSTEMS, 2009, 卷号: 17, 期号: 4, 页码: 531-546
作者:  Guo, Shuzhen;  Chen, Jianxin;  Zhao, Huihui;  Wang, Wei;  Yi, Jianqiang;  Liu, Lei;  Qi, Qige;  Liu, Renquan;  Qiu, Qi;  Wang, Yong
浏览  |  Adobe PDF(494Kb)  |  收藏  |  浏览/下载：300/84  |  提交时间：2015/08/12
Unstable Angina  Blood Stasis Syndrome  Traditional Chinese Medicine  Data Mining  Animal Model  Myocardial Ischemia  Classification  Radial Basis Function Network  
Image annotation via graph learning 期刊论文
PATTERN RECOGNITION, 2009, 卷号: 42, 期号: 2, 页码: 218-228
作者:  Liu, Jing;  Li, Mingjing;  Liu, Qingshan;  Lu, Hanqing;  Ma, Songde
浏览  |  Adobe PDF(579Kb)  |  收藏  |  浏览/下载：371/155  |  提交时间：2015/08/12
Graph Learning  Image Annotation  Image Similarity  Word Correlation  
Unsupervised Active Learning Based on Hierarchical Graph-Theoretic Clustering 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2009, 卷号: 39, 期号: 5, 页码: 1147-1161
作者:  Hu, Weiming;  Hu, Wei;  Xie, Nianhua;  Maybank, Steve
收藏  |  浏览/下载：150/0  |  提交时间：2015/08/12
Active Learning  Dominant-set Clustering  Image And Video Classification  Network Intrusion Detection  Spectral Clustering  
Handwritten Chinese text line segmentation by clustering with distance metric learning 期刊论文
PATTERN RECOGNITION, 2009, 卷号: 42, 期号: 12, 页码: 3146-3157
作者:  Yin, Fei;  Liu, Cheng-Lin
收藏  |  浏览/下载：217/0  |  提交时间：2015/08/12
Handwritten Text Line Segmentation  Clustering  Minimal Spanning Tree (Mst)  Distance Metric Learning  Hypervolume Reduction