CAJ | 학술논문

对基于数据或信息分析的情报研究来说，大数据分析方法带来了新机遇。文章在现有研究的基础上，先梳理了基于数据、流程及信息技术三种视角的大数据分析方法，并从中归纳出了面向统计、挖掘、发现、预测与集成等5种分析层次的17种相关研究方法。接着探讨了大数据分析方法在情报研究的适用性，分别找出10种可直接移植的方法、2种调整后可移植的方法、2种不适用的方法、3种需要继续研究或关注的方法。
대기우수거혹신식분석적정보연구래설，대수거분석방법대래료신궤우。문장재현유연구적기출상，선소리료기우수거、류정급신식기술삼충시각적대수거분석방법，병종중귀납출료면향통계、알굴、발현、예측여집성등5충분석층차적17충상관연구방법。접착탐토료대수거분석방법재정보연구적괄용성，분별조출10충가직접이식적방법、2충조정후가이식적방법、2충불괄용적방법、3충수요계속연구혹관주적방법。
Big data analytics has brought new opportunities for data-oriented or information-oriented intelligence studies' development. Based on existing research, the author makes a review of three viewpoints of big data analytics based on data, process and information technology, and then summarizes five levels of analytics which including statistics, mining, discovery, predict and integrate, and its 17 kinds of relevant research methods. The adaptability of big data analytics in the intelligence studiesis discussed and it is found that 10 research methods can be directly transplanted to intelligence studies, 2 research methods should be adjusted for transplantation, 2 research methods are inapplicable, and 3 research methods needfurther study.