Analysis of Computer Science Based on Big-Data Mining

被引：0
|
作者：
Xuan, Liu [1 ]
Chang, Liu [1 ]
机构：
[1] Huazhong Univ Sci & Technol Lib, Wuhan 430074, Peoples R China
来源：
2020 INTERNATIONAL CONFERENCE ON BIG DATA & ARTIFICIAL INTELLIGENCE & SOFTWARE ENGINEERING (ICBASE 2020) | 2020年
关键词：
Underlying data sources; Computer Science; Research output quality; research topics;
D O I：
10.1109/ICBASE51474.2020.00028
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The scientific construction of a first-class discipline construction evaluation system is of great significance to the promotion of discipline construction. As an important evaluation reference system, the third-party evaluation system must pay attention to its underlying data sources and calculation methods. Using the massive underlying data of the Scopus database, through the analysis of the computer disciplines of four Chinese universities, the development trend is discussed from the aspects of overall academic output, scientific research quality, and hot topics.
引用
收藏
页码：94 / 97
页数：4
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