With the rapid development of portable network access equipment and the iterative update of Internet technology, the network ecosystem has gradually grown and become active, which has also led to the rapid development of e-commerce relying on Internet technology. Compared with traditional offline shopping methods, online e-commerce is undoubtedly a fast, efficient and convenient shopping method. The e-commerce shopping platform that has blown out in recent years has also pro ved this point. Based on Hadoop technology, this paper studies the hierarchical structure of e-commerce big data clustering. Based on the construction of Hadoop e-commerce big data analysis model, relying on association rule analysis, classification and clustering analysis, change and deviation analysis, the realization of Hadoop technology-based E-commerce big data analysis.


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    Title :

    Hierarchical Structure of E-commerce Big Data Clustering Based on Hadoop Platform


    Contributors:
    Peng, Mei (author) / Hu, Bibo (author) / Tan, Zerong (author)


    Publication date :

    2021-12-02


    Size :

    2555394 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English






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