摘要
研究大数据时代学术期刊如何通过数据挖掘构建五类学术期刊信息数据库,通过采取数据挖掘方法对作者信息相关数据进行收集,分析和探讨学术期刊五类数据库建设条件和数据库的信息资料来源搜集方法。结果表明,学术期刊信息数据库建设方法简单可行,适合一般学术期刊的信息数据库建设,为学术期刊的信息数据库建设和维护管理提供借鉴。
This paper studies how academic journals construct five types of academic journal information database through data mining in the era of big data,collects data related to the author’s information by adopting data mining methods,analyzes and discusses the construction conditions of five types of academic journals database and the source collection methods of database information.The results show that the construction method of academic journal information database is simple and feasible,which is suitable for the construction of general academic journal information database,and provides reference for the construction and maintenance of academic journal information database.
作者
谢文亮
郑添尹
XIE Wenliang;ZHENG Tianyin(Editorial Office,Journal of Guangdong University of Finance&Economics,Guangzhou 510320,China;School of Politics and Public Administration,Guangxi Normal University,Guilin 541006,China)
出处
《现代信息科技》
2020年第14期125-127,130,共4页
Modern Information Technology
基金
广东省高校学报研究会2018编辑学研究重点课题(20180205)。
关键词
大数据
学术期刊
数据库
信息搜集
数据挖掘
big data
academic periodicals
database
information searching and collection
data mining
