Titlebook: E-Business. New Challenges and Opportunities for Digital-Enabled Intelligent Future; 23rd Wuhan Internati Yiliu Paul Tu,Maomao Chi Conferen

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Prediction of Banking Customer Churn Based on XGBoost with Feature Fusion,r relationships. To explore efficacy features, enhance the generalization performance of customer churn prediction, this study proposed a XGBoost model with feature fusion for banking customer churn prediction. At first, a feature fusion model based on improved RFM and Affinity Propagation clusterin

Transfusion

Technological Traps and Governance Strategies in the Digital Transformation of Education, to promote human development. However, this process is hindered by technological traps, and calls for corresponding governance strategies. This paper tries to establish a simple model incorporating the traps and governance strategies by investigating the case of a university F. The findings show th

易怒

Boosting Sales for Agricultural Products Through Live Streaming: The Role of Product Distance, Scenistics, this paper addresses how three less investigated live streaming designs which are product distance, scene type and streamer type affects sales for agricultural products. Based on dual-process theory, we further classify the impact of these three factors on sales into product path and non-pro

Ganglion

涂掉

A Critical Review of Research on Live Streaming of Agricultural Products: Status, Trends, and Mechamy in China. Although live streaming of agricultural products has become a research hotspot, there is a lack of a critical review to understand research status and trends on this research topic. Following PRISMA, we search literature on live streaming of agricultural products though Web of Science d

hangdog

Decoding Policy Directives: An Empirical Study on the Influence of Central Policy Signals on Local ng societal affairs. Analyzing central policy texts helps the public to understand policies and attribute real-world issues. Prior studies draw conclusions mainly based on statistics of word frequency while lacking consideration of the semantics content of these texts. This study employs text mining

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Mortar

https://doi.org/10.1057/9780230503250t data owners must devise strategic pricing plans to achieve optimal profit levels. The model introduced in this study not only supplements the existing theory and methods of data product pricing but also offers novel perspectives on product data pricing strategies.

不給啤

That Merciful Surplus of Strength,in word2vec, and the feature words are transformed into word vectors in the multi-dimensional space. Finally, use the k-means clustering algorithm to group the features. The research results based on text mining provide supportive decisions for promoting the development of China’s industrial product

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