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最近几年,关于大数据分析的话题广受人们关注,大数据方法和大数据应用理念也在情报界引起了密切关注,大数据分析已然成了情报学最新最热的话题之一。经过对比可知,大数据和情报分析二者之间存在十分紧密的关系,二者不仅存在共性,同样存在差异。二者的共性表现在对数据的分析上,强调的是数据的相关性和融合性分析。此外,在数据规模、对象以及分析任务等方面却又各有特色。本文具体从二者的共性及差异两方面出发,探讨大数据分析和情报分析的关系。
In recent years, the topic of big data analysis has drawn great attention. The big data method and the concept of big data application have also drawn close attention in the intelligence community. Big data analysis has become one of the hottest topics in information science. After comparison, we can see that there is a very close relationship between big data and intelligence analysis, both of which not only exist in common but also have differences. The commonalities of the two are in the analysis of the data, emphasizing the relevance and fusion analysis of the data. In addition, it has its own characteristics in terms of data size, object and analysis tasks. This article specifically from the two commonalities and differences in two aspects, to explore the relationship between big data analysis and intelligence analysis.