摘要：

【目的】分析科技期刊和科研活动相关数据,为期刊科学决策提供参考。【方法】借助百度学术、中国知网统计分析数据库等数据平台,结合期刊运行过程中产生和收集的数据,运用数据挖掘和分析方法,寻找影响期刊决策的关键指标。【结果】《计算机研究与发展》编辑部对相关学者和稿件信息进行分析和挖掘,为期刊在学者选择、专题策划、稿件筛选时提供精准的数据依据,以逐年提升期刊学术影响力。【结论】合理的数据统计和分析能为期刊决策提供客观依据,有利于期刊发现问题并寻找解决方案。

关键词: 科技期刊, 数据挖掘, 数据分析, 精准办刊, 《计算机研究与发展》

Abstract:

[Purposes] This study aims to analyze the data of journal operation and scientific research activities to provide references for journal decision-making. [Methods] With the help of Baidu big data platform, CNKI database, and the journal own database, the data mining and analysis methods were used to find the key indicators affecting the decision-making of journals. [Findings] Based on data analysis during the selection of scholars, thematic planning, and the selection of manuscripts, the academic influence of Journal of Computer Research and Development has been improved in recent years. [Conclusions] Reasonable data statistics and analysis can provide objective basis for journal decision-making and finding the effective solutions.

Key words: Scientific journal, Data mining, Data analysis, Precise journal operation, Journal of Computer Research and Development