Network information inheritance of traditional and migrant craftsmanship based on the background of big data

Fang Ji, Yulong Xue
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Abstract

Network information inheritance of traditional and migrant craftsmanship based on the background of big data is studied. The data structure has not yet achieved uniformity in scope, and it is still difficult to achieve data integration on one platform; in addition, the increasing business volume makes the development direction of data present a trend of fragmentation, and the user's business model Is also gradually changing. To face with this challenge, this paper studies the novel data structure for the efficient analysis. We apply the model on the scenario of the traditional and migrant craftsmanship, the test results reflect that the model is efficient.
基于大数据背景下的传统与流动工艺的网络信息传承
研究了基于大数据背景下传统工艺和流动工艺的网络信息传承。数据结构在范围上还没有实现统一,在一个平台上实现数据集成还比较困难;此外,业务量的不断增加使得数据的发展方向呈现碎片化的趋势,用户的商业模式也在逐渐发生变化。为了应对这一挑战,本文研究了一种新的数据结构来进行高效的分析。将该模型应用于传统工艺和移民工艺的场景,测试结果表明该模型是有效的。
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