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Data-oriented strengthening intelligent theoretical important practical issues of online ideological education platforms

机译：以数据导向的加强在线思想教育平台的智能理论重要实际问题

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This article investigates data-driven strengthening intelligent theoretical and practical issues of online ideological education platforms. Although data mining and statistics are closely related, there are significant differences between the two fields. The volume of data may not make a significant difference. The number of variables and attributes often has a profound impact on an applied analysis method. For the designed system, consider the listed novelties. Initially, the user can obtain the results from the analysis software package of collinearity. The results include collinearity and collinearity relationship. The second stage is the HCI and the intelligent data analytic model is combined to obtain the user-sensitive model for the platform design. The experimental results have shown that the designed platform can then effectively improve the interaction efficiency and also the user experience.
机译：本文调查了在线思想教育平台的数据驱动加强智能理论和实践问题。 虽然数据挖掘和统计密切相关，但两个领域之间存在显着差异。 数据量可能不会产生显着差异。 变量和属性的数量通常对应用分析方法产生深远的影响。 对于设计的系统，请考虑列出的新奇。 最初，用户可以从分析软件包中获得共同性的结果。 结果包括相连和共同性关系。 第二阶段是HCI，智能数据分析模型组合以获得平台设计的用户敏感模型。 实验结果表明，设计的平台然后可以有效地提高相互作用效率以及用户体验。

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