摘要
[目的/意义]工程意味着把经验、技巧、常识和知识进行固化、理论化、规范化,建立一个可重复创造有价值产品的最优系统。文章以数据工程为研究视角,以数据为主线,重点研究智能情报分析与应用研究中所涉及的构成要素(如数据、分析方法)及其建模、分析和技术实现方法。[方法/过程]依据图书出版行业实际数据现状,利用数据分析工程化方法,提出并构建智能情报分析决策模型,并应用真实的图书出版行业数据进行了选题和营销决策分析模型的实验分析工作。[结果/结论]实验结果表明,文章提出的智能情报分析决策模型具有一定的可应用性,为新闻出版行业出版大数据的平台建设奠定了研究基础。
[Purpose/significance] Engineering means to establish an optimal system that can create valuable products repeatedly by solidifying,theorizing and standardizing experience,skills,common sense and knowledge. Taking data engineering as the research perspective and data as the main line,this paper focuses on the elements( such as data,analysis methods) involved in intelligent information analysis and application, and their modeling, analysis and technical realization methods. [Method/process] According to the actual data status of book publication industry,the paper uses the data analysis and engineering method,proposes and constructs the intelligent information decision analysis model,and applies the real data to make experimental analysis of topic selection and marketing decision. [Result/conclusion]The experimental results show that the model proposed in this paper has a certain applicability,which lays a foundation for the construction of the big data platform in the press and publication industry.
出处
《情报理论与实践》
CSSCI
北大核心
2018年第7期31-34,59,共5页
Information Studies:Theory & Application
基金
新闻出版广电总局信息中心项目"新业态下的新闻出版行业数据分析模型及应用研究"(项目编号:2017110033000970)
国家社会科学基金项目"基于事实型科技大数据的情报分析方法及集成分析平台研究"(项目编号:14BTQ038)的成果之一
关键词
数据工程
数据分析
智能情报
智能情报分析
行业应用
data engineering
data analysis
intelligent information
intelligent information analysis
industry application