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Design of Big Data Intelligent Sharing System for the Creative Achievement of College Students in Internet+ Age

机译:互联网+年龄大学生创造性成果大数据智能共享系统设计

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Aiming to improve the ability of big data to share the creative achievements of college students in the Internet+ age, and to build a big data intelligent sharing system for college students' creative achievements in the Internet+ age, a design method of big data intelligent sharing system is proposed based on multi-layer architecture for college students' creative achievements in the Internet+ age. The multi-level big data fusion method is used to design the algorithm of big data intelligent sharing of the creative achievements of college students in the Internet+ age, and the statistical characteristics of big data of the creative achievements of college students in the Internet+ age are extracted. The multi-layer template feature matching method is used to combine big data's creative achievements in the Internet+ age with fuzzy clustering, and the intelligent sharing multi-layer architecture model of big data, the creative achievements of college students in the Internet+ age, is established. Under the structure system of BES, we construct the bottom database of big data intelligent sharing system, which is the creative achievement of college students in the Internet+ age. The program loading and automatic control of big data intelligent sharing system for university students' creative achievements is carried out by cross-compiling method. Under the embedded multi-level architecture, the software development and design of big data intelligent sharing system for college students' creative achievements are realized. The test results show that the system can effectively realize the intelligent sharing of the creative achievements of college students in the Internet+ age big data, the information fusion degree is higher.
机译:旨在提高大数据分享互联网+年龄的大学生创造性成就的能力,为大学生在互联网+时代建立大型数据智能共享系统,是大数据智能共享系统的设计方法基于互联网+年龄的大学生创意成果的多层架构提出。多级大数据融合方法用于设计互联网+时代大学生创造性成就的大数据智能共享算法,以及互联网+时代大学生创造性成就的大数据的统计特征提取。多层模板特征匹配方法用于将大数据的创新成就与模糊聚类组合在互联网+年龄,以及大数据的智能共享多层架构模型,互联网+时代的大学生的创造性成就,是。在BES的结构系统下,我们构建大数据智能共享系统的底部数据库,这是互联网+时代大学生的创造性成就。大学生创意成果大数据智能共享系统的程序装载和自动控制是通过交叉编译方法进行的。根据嵌入式多级架构,实现了大学生智能共享系统的软件开发和设计,实现了大学生的创造性成就。测试结果表明,该系统可以有效地实现智能共享大学生在互联网+年龄大数据中的创造性成果,信息融合程度较高。

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