摘要
信息分析以因果关系为基础,形成了样本微观分析、定性与定量分析、趋势外推分析的思维模式。大数据对传统的信息分析产生了根本性影响,大数据分析以相关关系为基础,形成了整体宏观分析、数据和技术分析、相关分析和知识发现的新思维模式。即从因果分析到相关分析和知识发现,从模型拟合到数据挖掘,从逻辑推理到关联规则制定。大数据时代的信息分析,即大数据分析,从分析对象、数据处理方式、分析方法和工具、分析思维等方面都发生巨大变化。
Based on causality, traditional information analysis takes shape into the thought pattern of samples micro analy- sis, qualitative and quantitative analysis, trend forecast. Big data exerts great influence on traditional analysis. Big data a- nalysis is based on relationship, and takes shape into the new thought pattern of whole macro analysis, data and technology analysis, relation analysis and knowledge discovery. All these changes can be summed up as： from causality to relationship, from model mock to data mining, from logical reasoning to relation law making. Information analysis has changed greatly in big data age, including analysis object, data dealing mode, analysis methods and tools, analysis thought, and so on.
出处
《图书情报知识》
CSSCI
北大核心
2015年第5期66-73,共8页
Documentation,Information & Knowledge
基金
湖南省社科基金项目"大数据时代的数字资源融合及其服务研究(13YBA347)"的成果之一
关键词
大数据
信息分析
数据分析
定性与定量分析
情报研究
Big data Information analysis Big data analysis Qualitative and quantitative analysis Intelligence research
