VLDB Journal
短名 | VLDB J. |
Journal Impact | 2.80 |
国际分区 | COMPUTER SCIENCE, INFORMATION SYSTEMS(Q2) |
期刊索引 | SCI Q2中科院 2 区 |
ISSN | 0949-877X, 1066-8888 |
h-index | 97 |
国内分区 | 计算机科学(2区)计算机科学计算机硬件(2区)计算机科学计算机信息系统(3区) |
该杂志致力于发表数据管理领域的学术贡献,例如数据库系统技术和信息系统,包括它们的架构和应用程序。此外,该期刊的范围仅限于该期刊编辑委员会综合专业知识所涵盖的数据管理领域。欢迎提交具有实质性理论成分的投稿,但 VLDB 期刊希望此类投稿也包含系统成分。对于数据挖掘,该期刊将处理系统问题发挥重要作用的提交。我们用于确定数据挖掘论文是否在范围内的因素包括:提交的目标是与数据挖掘相关的系统问题,例如,通过涵盖与数据库引擎或其他数据管理功能的集成。提交的贡献建立在(而不是而不是简单地引用)已经在数据库渠道发表的作品,例如 VLDBJ、ACM TODS、PVLDB、ACM SIGMOD、IEEE ICDE、EDBT。期刊的编辑委员会对提交的主题拥有必要的专业知识。传统的、独立的缺乏上述或类似特征的数据挖掘论文不在本刊范围内。与上述类似的标准适用于来自其他领域的提交,例如信息检索和地理信息系统。
期刊主页投稿网址涉及主题 | 计算机科学数学数据库程序设计语言数据挖掘操作系统人工智能情报检索工程类万维网理论计算机科学统计算法哲学机器学习组合数学物理生物 |
出版信息 | 出版商: Springer New York,出版周期: Quarterly,期刊类型: journal |
基本数据 | 创刊年份: 1992,原创研究文献占比: 100.00%,自引率:7.10%, Gold OA占比: 33.33% |
平均审稿周期 | 网友分享经验:>12周,或约稿 |
平均录用比例 | 网友分享经验:容易 |
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