scholarly journals Analysis of the Rule of TCM Compatibility in TCM Prescriptions Containing Ginseng Radix ET Rhizoma in Ancient Books for Xiaoke Bing

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Xiuli Sun ◽  
Bo Zhang ◽  
ShuHua Wang ◽  
Shuying Liu ◽  
Qingying Zhou
Keyword(s):  
Association Rules ◽  
Frequency Analysis ◽  
Clustering Analysis ◽  
Interconnection Network ◽  
Graph Clustering ◽  
New Methods ◽  
Treatment Of Diabetes ◽  
Association Rules Analysis

Background. TCM considers that diabetes belongs to the scope of Xiaoke Bing. Compound prescriptions are characteristics of TCM. For a certain medicine, its compatibility with different medicines can exert different efficacies in different prescriptions. Using the TCM compound prescriptions containing Ginseng Radix ET Rhizoma in ancient books for Xiaoke Bing as an example, this study introduces new methods to investigate the rule of TCM compatibility. Methods. Frequency analysis was accomplished by programs written in Perl. The R, Cytoscape, and DpClus software were used to carry out the association rules analysis, the construction of the TCM interconnection network, and the graph clustering analysis, respectively. Results. Frequency analysis ranked the frequencies of medicine, medicinal flavors, properties, and meridian attributions, and it was found that some of them are significantly higher than others. Six association rules were obtained. The TCM interconnection network showed that there are close medicine associations among prescriptions, and we got 17 categories of closely related prescriptions from the network. Conclusions. Ginseng Radix ET Rhizoma was widely used in treating Xiaoke Bing. Our results are consistent with the understanding of Xiaoke Bing in TCM; hence, it is demonstrated that the methods are effective for exploring the rule of TCM usage in prescriptions. This analysis could provide references for the treatment of diabetes.

scholarly journals Correction: Lee et al. Patterns of Multimorbidity in Adults: An Association Rules Analysis Using the Korea Health Panel. Int. J. Environ. Res. Public Health 2020, 17, 2618

2021 ◽  
Vol 18 (21) ◽  
pp. 11278
Author(s):  
Yoonju Lee ◽  
Heejin Kim ◽  
Hyesun Jeong ◽  
Yunhwan Noh
Keyword(s):  
Public Health ◽  
Association Rules ◽  
Association Rules Analysis

The authors have noticed an inadvertent error in our article, ‘‘Patterns of Multimorbidity in Adults: An Association Rules Analysis Using the Korea Health Panel” [...]

scholarly journals A Novel Intelligence Recommendation Model for Insurance Products with Consumer Segmentation

2014 ◽  
Vol 2 (1) ◽  
pp. 16-28 ◽  
Author(s):  
Wei Xu ◽  
Jiajia Wang ◽  
Ziqi Zhao ◽  
Caihong Sun ◽  
Jian Ma
Keyword(s):  
Association Rules ◽  
Insurance Industry ◽  
Insurance Company ◽  
Growth Opportunities ◽  
Consumer Group ◽  
Transaction Data ◽  
Consumer Segmentation ◽  
Cost Of Time ◽  
Effective Product ◽  
Association Rules Analysis

AbstractAs one of the financial industries, the insurance industry is now facing a vast market and significant growth opportunities. The insurance company will generate a lot transaction data each day, thus forming a huge database. Recommending insurance products for customers accurately and efficiently can help to improve the competitiveness of insurance company. Data mining technologies such as association rules have been applied to the recommendation of insurance products. However, large policyholders’ data will be calculated when it being processed with associate rule algorithm. It not only requires higher cost of time and space, but also can lead to the final rules lack of accuracy and differentiation. In this paper, a recommendation model for insurance products based on consumer segmentation is constructed, which first divides consumer group into different classes and then processed with associate rule algorithm. The empirical results show that our proposed method not only makes the consumption of association rules analysis reduced, it has also got more effective product recommendation results.

scholarly journals Association Rules Analysis of Comorbidity and Multimorbidity: The Concord Health and Aging in Men Project

2015 ◽  
Vol 71 (5) ◽  
pp. 625-631 ◽  
Author(s):  
Fabian P. Held ◽  
Fiona Blyth ◽  
Danijela Gnjidic ◽  
Vasant Hirani ◽  
Vasikaran Naganathan ◽  
...  
Keyword(s):  
Association Rules ◽  
Association Rules Analysis

Research on the Web Mining Algorithm Application in Tourism E-Commerce

2013 ◽  
Vol 380-384 ◽  
pp. 1133-1136
Author(s):  
Xue Song Zhao ◽  
Kai Fan Ji
Keyword(s):  
Association Rules ◽  
Clustering Analysis ◽  
Web Mining ◽  
Web Design ◽  
Developed Countries ◽  
Online Sales ◽  
Mining Algorithm ◽  
Personalized Services ◽  
Mining Algorithms ◽  
The Web

Web mining algorithms are widely used in e-commerce. Tourism e-commerce develops fast in recent years in China but the application of web mining algorithms stays in low level compared with some developed countries. This paper first discusses two major web mining algorithms: the Association Rules algorithm and Clustering Analysis, and then analyzes the application of web mining algorithm in tourism e-commerce. It concludes that web mining algorithms can help tourism e-commerce to improve web design, increase online sales and provide better personalized services for web users.

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