TY -的A2 -库马尔,Akshi AU -李,王PY - 2022 DA - 2022/01/12 TI -大数据精确营销方法下物联网云平台信息挖掘SP - 4828108六世- 2022 AB -在这篇文章中,深入研究和分析了精准营销的方法是由建立物联网云平台,然后使用大数据信息挖掘的技术。云平台使用MySQL数据库结合MongoDB数据库来存储云平台的数据,以确保正确的数据存储以及提高数据的访问速度。物联网时态数据的存储方法进行了优化,存储数据的时段的方法是用来提高阅读效率的大量数据。物联网数据存储系统的可伸缩性,MongoDB数据库集群方案旨在确保数据存储的可伸缩性和灾难恢复能力。大数据营销的相关理论进行了综述和分析;其次,基于相关理论,结合作者的工作经验和相关信息,综合分析和研究大数据市场营销的现状,关注其宏观,微观,和工业环境。服务模型结合了用户需求的类型,封装了资源联盟通过数据挖掘得到的服务产品,并发布,并将它们的数据产品。从电信行业的发展的角度来看,在技术方面,电信行业的发展趋势移动取代固定网络和三网融合。所代表的新兴技术的发展,物联网和云计算技术的变化也导致了电信行业。运营商正面临着新的发展机遇和挑战。 It also divides the service mode into self-service and consulting service mode according to the different degrees of users’ cognition and understanding of the service, as well as proposes standardized data mining service guarantee from two aspects: after-sales service and operation supervision. A customized data mining service is a kind of data mining service for users’ personalized needs. And the intelligent data mining service guarantee is proposed from two aspects of multicase experience integration and group intelligence. In the empirical research part, the big data alliance in Big Data Industry Alliance, which provides data mining service as the main business, is selected as the research object, and the data mining service model of the big data alliance proposed in this article is applied to the actual alliance to verify the scientific and rationality of the data mining service model and improve the data mining service model management system. SN - 1687-5265 UR - https://doi.org/10.1155/2022/4828108 DO - 10.1155/2022/4828108 JF - Computational Intelligence and Neuroscience PB - Hindawi KW - ER -