Mining Frequent Purchase Behavior Patterns for Commercial Websites

Author(s):  
Li-Fu Hsu ◽  
Chuin-Chieh Hsu ◽  
Yi-Chen Ku

Author(s):  
İnanç Kabasakal

In a digital transformation environment, most businesses shift towards e-business and encounter businesses and customer interaction on digital channels. Information Technology renders data access and processing more efficient, and use of customer data in decision making has become a focal interest area that attracts researchers. Customer data is a relevant subject for numerous studies in Data Mining. In this chapter, Association Rule Mining has been utilized to extract purchase behavior patterns with a multilevel approach. Basket data obtained from an online retailer was analyzed to discover purchase behaviors with a focus on category and brand attributes of products. Brands and categories purchased together frequently were discovered. Brand and category-wise association rules were also presented in the results. The analysis differs from the majority of prior analyses, by referring to the category and brand attributes in basket data. It could be noted that generalized rules obtained with this approach might prove useful in recommending new items of existing brands or categories.





2020 ◽  
Vol 8 (1) ◽  
pp. 51-73
Author(s):  
Abdulalem Mohammed ◽  
Abdo Homaid ◽  
Wail Alaswadi

For environmental and business reasons, understanding the consumer behaviour of the young towards green products is very important. Therefore, the main purpose of this study is to investigate the factors influencing green product buying intention and behaviour among young consumers in Saudi Arabia. The study has developed a set of hypotheses utilising the theory of planned behaviour (TPB) as a guiding principle. They were tested based on data collected from 257 individuals through the use of the Partial Least Square (PLS) method. The findings showed that a culture of collectivism was the best way to predict the green purchasing intentions of young Saudis, followed by a willingness to pay, environmental self-identity and peer pressure. Additionally, purchasing intention is a major factor influencing actual green purchasing behaviour.



2012 ◽  
Vol 2 (10) ◽  
pp. 1-2
Author(s):  
D. Muthukrishnaveni D. Muthukrishnaveni ◽  
◽  
Dr. D. Muruganandam Dr. D. Muruganandam




1990 ◽  
Vol 18 (1) ◽  
pp. 13-65 ◽  
Author(s):  
W. W. Klingbeil ◽  
H. W. H. Witt

Abstract A three-component model for a belted radial tire, previously developed by the authors for free rolling without slip, is generalized to include longitudinal forces and deformations associated with driving and braking. Surface tractions at the tire-road interface are governed by a Coulomb friction law in which the coefficient of friction is assumed to be constant. After a brief review of the model, the mechanism of interfacial shear force generation is delineated and explored under traction with perfect adhesion. Addition of the friction law then leads to the inception of slide zones, which propagate through the footprint with increasing severity of maneuvers. Different behavior patterns under driving and braking are emphasized, with comparisons being given of sliding displacements, sliding velocities, and frictional work at the tire-road interface. As a further application of the model, the effect of friction coefficient and of test variables such as load, deflection, and inflation pressure on braking stiffness are computed and compared to analogous predictions on the braking spring rate.



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