摘要
通过对我国数据挖掘领域授予的博士学位论文的计量分析,从时间、主题、学科与研究机构四个角度揭示了我国数据挖掘的研究现状。分析结果显示:我国数据挖掘的研究相对成熟,从广度研究转入深度研究,研究变得更加细致;数据挖掘的研究热点可归纳为两种类型,一类是应用比较广泛的数据挖掘技术方法研究,另一类是数据挖掘的应用研究;数据挖掘涉及的不同学科之间既存在共同研究主题,也存在特色研究主题;数据挖掘领域的研究机构主要为综合类、理工类和医药类大学,目前已形成了明显的潜在合作机构团体;除医药类研究机构外,其它类型研究机构的主题特色不鲜明。
By the quantitative analysis of PhD thesis in the field of data mining in China, this paper re- veals the status quo of data mining in the view of times, topics, disciplines and research institutions. Results of the analysis show that： research of data mining in China is relatively mature and becoming more delicate; the research focus can be divided into two categories： the study of widely used techniques and methods, and the study of its application; data mining involves many disciplines, which have common topics and featured topics; research institutions in the field of data mining are primarily comprehensive, science and engineering and medical universities, and potential cooperative teams have basically been formed at present; in addition to the pharmaceutical research institutions, theme characteristic of other types of research institutions is not clear.
出处
《信息资源管理学报》
2016年第1期17-23,共7页
Journal of Information Resources Management
