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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...
In the Internet shopping environment, changes of customer's needs grow increasingly outstanding. For discovering the changes, the paper mines the transaction databases of different time periods by using association rule discovery, and extracts the association rules and discovers the changes in network customer behavior by comparison and analysis between the two sets of association rules. This paper...
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