IUCStream: A Novel Increment Update Clustering Algorithm for Commodity Stream Data Analysis in e-Commerce and Logistics

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Provided by: Academy Publisher
Topic: Data Management
Format: PDF
With China's rapid development of e-commerce and logistics, many large electronic business enterprises start to establish large volume warehouses. It takes a long time to distribute the goods every time, so the optimal distribution link can save a lot of time and it has important practical significance. In order to optimize goods inventory and delivery, the electronic commerce goods shopping cart stream data need to be analyzed. In this paper, a novel increment update clustering algorithm, named as IUCStream for commodity stream data analysis in ecommerce and logistics is proposed.
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