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  1. Journal of Systems Science and Complexity
  2. Journal of Systems Science and Complexity : Volume 21
  3. Journal of Systems Science and Complexity : Volume 21, Issue 1, March 2008
  4. Exploration of TCM Masters Knowledge Mining
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Journal of Systems Science and Complexity : Volume 30
Journal of Systems Science and Complexity : Volume 29
Journal of Systems Science and Complexity : Volume 28
Journal of Systems Science and Complexity : Volume 27
Journal of Systems Science and Complexity : Volume 26
Journal of Systems Science and Complexity : Volume 25
Journal of Systems Science and Complexity : Volume 24
Journal of Systems Science and Complexity : Volume 23
Journal of Systems Science and Complexity : Volume 22
Journal of Systems Science and Complexity : Volume 21
Journal of Systems Science and Complexity : Volume 21, Issue 4, December 2008
Journal of Systems Science and Complexity : Volume 21, Issue 3, September 2008
Journal of Systems Science and Complexity : Volume 21, Issue 1, March 2008
Forecasting China’s Foreign Trade Volume with a Kernel-Based Hybrid Econometric-Ai Ensemble Learning Approach
Cluster Synchronization in a Complex Dynamical Network with Two Nonidentical Clusters
Exploration of TCM Masters Knowledge Mining
Linear Quadratic Regulation for Discrete-Time Systems with Input Delay: Spectral Factorization Approach
The Hamming Distances of Negacyclic Codes of Length 2$^{ s }$ over GR(2$^{ a }$,m)
Dynamical Analysis of a 3-D Chaotic System with only Two Quadratic Nonlinearities
Some Results on Generalized Difference Sets
Nonmonotonic Reduced Projected Hessian Method Via an Affine Scaling Interior Modified Gradient Path for Bounded-Constrained Optimization
On-Line Scheduling of Unit Time Jobs with Rejection on Uniform Machines
Asymptotic Solution of Activator Inhibitor Systems for Nonlinear Reaction Diffusion Equations
A Multistep Finite Volume Method with Penalty for Thermal Convection Problems in Two or Three Dimensions
On ( $$\in, \in \vee q$$ )-Fuzzy Filters of BL-Algebras
Journal of Systems Science and Complexity : Volume 21, Issue 2, February 2008
Journal of Systems Science and Complexity : Volume 20
Journal of Systems Science and Complexity : Volume 19

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Exploration of TCM Masters Knowledge Mining

Content Provider SpringerLink
Author Tang, Xijin Zhang, Nan Wang, Zheng
Copyright Year 2008
Abstract Traditional Chinese medicine (TCM) has a rich knowledge about human health and disease by its special way evolved along a very long history. As modern medicine is achieving much progress, arguments and disputes toward TCM never end. To avoid losing precious knowledge of living TCM masters, endeavors have been engaged to systematic collection of those knowledge of TCM masters, such as their growth experiences, effective practical cases toward diseases and typical therapeutic principles and methods. Knowledge mining methods have been expected to explore some useful or hidden patterns to unveil some mysteries of the TCM system. In the paper, some computerized methods are applied toward those collected materials about some living TCM masters in China mainland to show a different way of exposing essential ideas of those TCM masters by correspondence visualization which aims to help people understand TCM holistic views toward disease and body, and facilitate tacit knowledge transfer and sense-making of the essence of TCM. The work is one kind of qualitative meta-synthesis of TCM masters’ knowledge.
Starting Page 34
Ending Page 45
Page Count 12
File Format PDF
ISSN 10096124
Journal Journal of Systems Science and Complexity
Volume Number 21
Issue Number 1
e-ISSN 15597067
Language English
Publisher Springer US
Publisher Date 2008-01-01
Publisher Place Boston
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Idea map knowledge mining qualitative meta-synthesis traditional Chinese medicine Operations Research/Decision Theory Mathematical Modeling and Industrial Mathematics Probability Theory and Stochastic Processes Systems Theory, Control Industrial and Production Engineering ApplicationMathematics/Computational Methods of Engineering
Content Type Text
Resource Type Article
Subject Information Systems
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