摘要
大数据技术为PDA项目实施提供了准确的数据源.通过对图书馆大数据特征的分析挖掘,提出了基于大数据的PDA体系架构,其中包括数据采集层、数据预处理层、数据存储层、数据分析及挖掘层、读者决策采购执行层.构建基于大数据的PDA模式能优化现有的图书馆文献资源管理体系,为图书馆决策工作提供帮助,但在使用过程中需注意大数据人才的缺乏、读者隐私、大数据技术处理的复杂性等问题.
Big data technology provides accurate data sources for PDA(patron-driven acquisition) project implementation.By analyzing and mining the characteristics of library big data,a PDA system framework based on big data is proposed,which includes layers of data collection,data preprocessing,data storage,data analysis and mining,and patron-driven acquisition execution.Building a PDA model based on big data can optimize the existing library literature resources management system and provide auxiliary help for library decision-making.However,it is necessary to pay attention to problems like the lack of big data talents,reader privacy,and the complexity of big data technology processing when applying the model.
作者
吕娜娜
LV Na-na(Guangzhou Medical University,Guangzhou Guangdong 511436)
出处
《广东技术师范大学学报》
2020年第6期79-83,94,共6页
Journal of Guangdong Polytechnic Normal University
关键词
大数据
PDA
文献资源
读者决策采购
big data
PDA
literature resources
patron-driven acquisition