TCMiner: A High Performance Data Mining System for Multi-dimensional Data Analysis of Traditional Chinese Medicine Prescriptions

Author(s):  
Chuan Li ◽  
Changjie Tang ◽  
Jing Peng ◽  
Jianjun Hu ◽  
Lingming Zeng ◽  
...  
2012 ◽  
Vol 433-440 ◽  
pp. 3230-3234
Author(s):  
Yu Zhen Han

Grid computing is a new and quickly developmental calculation model with the development of Internet technology, focuses on integrating distributed, heterogeneous and idle computers from the Internet to be a service system with high performance. This paper gives a brief introduction of grid computing, and do research on the architecture and implementation of a data mining system based on grid computing, that is DMSGrid, a grid computing data mining applications, not only considers efficient parallel computing as a crucial aspect, but also takes into account dynamic resource configuration and provides an engine to execute the algorithm flow specified in an application.


2014 ◽  
Vol 687-691 ◽  
pp. 1266-1269
Author(s):  
Zhen Wang ◽  
Kan Kan She

With the rapid development of information technology, the amount of data accumulated by people is increasing sharply. Data mining technology is an effective method to find useful information from vast amounts of data and increase the utilization of information. After thousands of years of development, traditional Chinese medicine has accumulated a wealth of theoretical knowledge and a lot of books and records, more and more Chinese medicine databases are created. Using data mining technology to mine the unknown knowledge and rules and put forward assumptions for experiment and theory can be a good auxiliary research of traditional Chinese medicine. This article analyzes the data mining methods of traditional Chinese medicine at first. Then, the application of data mining technology in traditional Chinese medicine data analysis is introduced which includes the data mining of traditional Chinese medicine literatures, diagnosis and clinic of traditional Chinese medicine and prescription and medication of traditional Chinese medicine. At last, the aspects which need to be paid attention to in the data mining of traditional Chinese medicine are pointed out.


2001 ◽  
Vol 24 (3) ◽  
pp. 222-231 ◽  
Author(s):  
Chi Zhou ◽  
P.C. Nelson ◽  
Weimin Xiao ◽  
T.M. Tirpak ◽  
S.A. Lane

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