The current marketing data management method cannot analyze and mine the correlation between marketing data, which leads to the confusion of the attributes of marketing data mining results and the inability to realize efficient data scheduling. This paper introduces improved association rules into precision marketing data mining of e-commerce platform. Optimize the background hardware of the e-commerce platform, collect and analyze the multi-source data. Information fusion method is used to optimize association rules, and combined with distributed similarity, accurate mining of marketing data of e-commerce platform is completed. Experimental results show that the proposed method can realize precision marketing data mining and has high robustness.
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© 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
- Association rules
- Data mining
- E-commerce platform
- Precision marketing