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The precise logistics growth prediction can provide important reference for economic growth and consumer groups. According to the traditional logistics growth prediction method, the ordinary time prediction method was used to predict large deviations, and the result was unstable. So an improved logistic growth prediction of B2C e-commerce was proposed based on nonlinear integral. Firstly, the old...
Multi agent system (MAS) model has been extensively used in the different tasks of E-Commerce such as customer relation management (CRM), negotiation and brokering. This paper presents Data Mining (DM) based seller agent categorization and a multi-attribute negotiation approach for negotiation between buyer and seller agents of same category provided by DM result. The paper also described a multi-attribute...
Data was collected from an online questionnaire completed by 1,198 respondents in 2008. Analysis of the dataset involved, correlation analysis, exploratory factor analysis, and logistic regression. In the final model building stage, a logistic regression model is generated containing key factors that lead to online travel booking intention. These factors are a unique set of socio and psychographic...
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