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Copyright Transaction Mode and Copyright Protection Risk Analysis of Green Industry from the Perspective of Information Environment

机译:信息环境视角下的绿色产业著作权交易模式与著作权保护风险分析

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摘要

At present,the requirements of the current environment and background require us to have higher requirements for the data mode of copyright transaction.According to the previous way to conduct copyright transactions,it will cause a lot of unnecessary trouble,and according to the establishment of the copyright transaction database,we analyse the data types and patterns of copyright transactions and related copyright transaction protection measures and risk prevention.According to the copyright transaction database,we adopt BS network model,CIF copyright transaction data set model,CI data set model,data interactive query technology,and block matching technology to deal with the copyright transaction data model and copyright transaction risk prevention under the background of Informa ionization as follows:(1)we use BS network model,CIF copyright transaction data set model,and CI data set model to analyse and detect the copyright transaction data before transaction,which better reflects the network model effect of self-enhancing operation rate of copyright transaction data and effectively avoids overfitting problem.(2)By using interactive data query technology,the data presented in the preparation work before the transaction is more detailed,the samples are normalized,and the collected transaction data are tested for accuracy,which can eliminate potential dangers.(3)The method of similarity feature reconstruction of copyright transaction data set completes the extraction of association matching features of copyright transaction data system,whicn provides strong support for us to prevent risks and effectively match data in copyright transaction.
机译:目前,当前环境和背景的要求要求我们对版权交易的数据模式有更高的要求。按照以往进行版权交易的方式,会造成很多不必要的麻烦,根据版权交易数据库的建立,分析版权交易的数据类型和模式以及相关的版权交易保护措施和风险防范。根据著作权交易数据库,采用BS网络模型、CIF版权交易数据集模型、CI数据集模型、数据交互查询技术、区块匹配技术,对Informa电离背景下的版权交易数据模型和著作权交易风险防范进行如下处理:(1)我们采用BS网络模型,CIF版权交易数据集模型和CI数据集模型对交易前的版权交易数据进行分析和检测,较好地体现了版权交易数据自增强操作率的网络模型效应,有效避免了过拟合问题。(2)通过采用交互式数据查询技术,对交易前准备工作中呈现的数据更加详细,对样本进行归一化,对采集到的交易数据进行准确性测试,可以消除潜在危险。(3)版权交易数据集相似性特征重构方法完成了版权交易数据系统关联匹配特征的提取,为版权交易风险防范、有效匹配数据提供了有力支持。

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