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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) |
VLDB Journal 是一本专注于数据管理领域的学术期刊,涵盖数据库系统技术和信息系统,包括其架构和应用程序。该期刊的范围仅限于编辑委员会的专业知识所涵盖的数据管理领域。我们欢迎具有实质性理论成分的投稿,但 VLDB Journal 希望这些投稿也包含系统方面的内容。在数据挖掘方面,期刊将处理那些系统问题发挥重要作用的投稿。我们判断数据挖掘论文是否符合范围的因素包括:提交的目标是否与数据挖掘相关的系统问题相关,例如,是否涉及数据库引擎或其他数据管理功能的集成。投稿的贡献应建立在已有的数据库领域的研究基础上,而不仅仅是简单引用,例如 VLDBJ、ACM TODS、PVLDB、ACM SIGMOD、IEEE ICDE 和 EDBT。期刊的编辑委员会具备必要的专业知识来评估提交的主题。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的范围内。来自其他领域的提交,例如信息检索和地理信息系统,也适用类似的标准。
期刊主页投稿网址阅读文献时,研飞即可帮你快速了解期刊,查询影响因子与分区,智能高亮期刊预警!
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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