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.

該期刊致力于發表數據管理領域的學術貢獻，例如數據庫系統技術和信息系統，包括其架構和應用。此外，該期刊的范圍僅限于期刊編輯委員會綜合專業知識涵蓋的數據管理領域。

歡迎包含大量理論內容的投稿，但 VLDB 期刊希望此類投稿也包含系統內容。

在數據挖掘方面，該期刊將處理系統問題發揮重要作用的投稿。我們用于確定數據挖掘論文是否在范圍內的因素包括：

投稿針對與數據挖掘相關的系統問題，例如，通過涵蓋與數據庫引擎或其他數據管理功能的集成。

投稿的貢獻建立在（而不是簡單引用）已在數據庫渠道上發表的作品之上，例如 VLDBJ、ACM TODS、PVLDB、ACM SIGMOD、IEEE ICDE、EDBT。

該期刊的編輯委員會對投稿主題擁有必要的專業知識。

缺乏上述或類似特征的傳統獨立數據挖掘論文不在本期刊的范圍內。與上述類似的標準適用于來自其他領域的投稿，例如信息檢索和地理信息系統。

Vldb Journal創刊于1992年，由Springer Berlin Heidelberg出版商出版，收稿方向涵蓋工程技術 - 計算機：信息系統全領域，此刊是該細分領域中屬于非常不錯的SCI期刊，在行業細分領域中學術影響力較大，專業度認可很高，所以對原創文章要求創新性較高，如果您的文章質量很高，可以嘗試。平均審稿速度 12周，或約稿 ，影響因子指數2.8，該期刊近期沒有被列入國際期刊預警名單，廣大學者值得一試。