Vldb Journal

Journal Title：Vldb Journal

The journal is dedicated to the publication of scholarly contributions in areas of data management such as database system technology and information systems, including their architectures and applications. Further, the journal’s scope is restricted to areas of data management that are covered by the combined expertise of the journal’s editorial board.

Submissions with a substantial theory component are welcome, but the VLDB Journal expects such submissions also to embody a systems component.

In relation to data mining, the journal will handle submissions where systems issues play a significant role. Factors that we use to determine whether a data mining paper is within scope include:

The submission targets systems issues in relation to data mining, e.g., by covering integration with a database engine or with other data management functionality.

The submission’s contributions build on (rather than simply cite) work already published in database outlets, e.g., VLDBJ, ACM TODS, PVLDB, ACM SIGMOD, IEEE ICDE, EDBT.

The journal's editorial board has the necessary expertise on the submission's topic.

Traditional, stand-alone data mining papers that lack the above or similar characteristics are out of scope for this journal. Criteria similar to the above are applied to submission from other areas, e.g., information retrieval and geographical information systems.

该期刊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，包括其架构和应用程序。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。

欢迎提交包含大量理论组件的文章，但 VLDB 期刊希望此类提交也包含系统组件。

关于数据挖掘，该期刊将处理系统问题发挥重要作用的投稿。我们用来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，涉及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（而不是简单地引用）已经在数据库渠道中发布的工作之上，例如 VLDBJ、ACM TODS、PVLDB、ACM SIGMOD、IEEE ICDE、EDBT。

期刊的编辑委员会在投稿主题方面拥有必要的专业知识。

缺乏上述或类似特征的传统、独立的数据挖掘论文不在本期刊的范围内。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。

Vldb Journal创刊于1992年，由SPRINGER出版商出版，收稿方向涵盖工程技术 - 计算机：信息系统全领域，此刊是该细分领域中属于非常不错的SCI期刊，在行业细分领域中学术影响力较大，专业度认可很高，所以对原创文章要求创新性较高，如果您的文章质量很高，可以尝试。平均审稿速度>12周，或约稿，影响因子指数2.904，该期刊近期没有被列入国际期刊预警名单，广大学者值得一试。