Research on Community Consumer Behavior Based on Association Rules Analysis

2021 ◽  
Author(s):  
Xu Yingzhuo ◽  
Wang Xuewen
Keyword(s):  
Consumer Behavior ◽  
Association Rules ◽  
Behavior Based ◽  
Association Rules Analysis

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” [...]

Consumer Self-Concept, Symbolism and Market Behavior: A Theoretical Approach

1967 ◽  
Vol 31 (4) ◽  
pp. 22-27 ◽  
Author(s):  
Edward L. Grubb ◽  
Harrison L. Grathwohl
Keyword(s):  
Consumer Behavior ◽  
Theoretical Approach ◽  
Psychological Characteristics ◽  
Self Concept ◽  
Purchase Behavior ◽  
Market Behavior ◽  
Symbolic Value ◽  
Behavior Based ◽  
The Relationship ◽  
Theoretical Foundations

What is the relationship between the psychological characteristics of a consumer and his purchase behavior? In this paper the authors briefly review pertinent research and lay theoretical foundations for a model of consumer behavior based upon an individual's self-concept and the symbolic value of the goods he buys.

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
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