信息资源管理学报 ›› 2016, Vol. 6 ›› Issue (1): 17-23.doi: 10.13365/j.jirm.2016.01.017

• 研究论文 • 上一篇    下一篇

基于博士学位论文的国内数据挖掘研究现状分析

赵蓉英 郭凤娇   

  • 收稿日期:2015-09-18 出版日期:2016-01-26 发布日期:2016-01-26
  • 作者简介:赵蓉英,教授,博士生导师,研究方向为信息计量与科学评价;郭凤娇,博士研究生,研究方向为信息计量与科学评价,Email: happyguofj@126.com。

Analysis of Data Mining Research Status in China based on PhD Thesis

Zhao Rongying Guo Fengjiao   

  • Received:2015-09-18 Online:2016-01-26 Published:2016-01-26

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。

关键词: 数据挖掘,  时间,  主题,  学科,  机构,  博士学位论文

Abstract:

By the quantitative analysis of PhD thesis in the field of data mining in China, this paper reveals 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.

Key words: Data mining,  Time,  Topics,  Disciplines,  Institutions,  PhD thesis

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