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Lecture Notes in Business Information Processing

短名	Inf. Syst.
Journal Impact	2.89
国际分区	COMPUTER SCIENCE, INFORMATION SYSTEMS(Q2)

ISSN	0306-4379, 1865-1348, 1865-1356
h-index	63

信息系统是支持数据密集型应用程序的软件和硬件系统。《Lecture Notes in Business Information Processing》期刊发表有关信息系统语言、数据模型、流程模型、算法、软件和硬件设计与实施的文章。主题领域包括主要国际数据库会议（如ACM SIGMOD/PODS）中提出的数据管理问题、VLDB、ICDE和ICDT/EDBT，以及数据挖掘/机器学习、与结构化数据协调的信息检索、互联网和云数据管理、业务流程管理、网络语义、视觉和音频信息等领域的数据相关问题。与大规模并行数据管理、实践中的容错以及数据密集型系统的专用硬件相关的实施论文也受到欢迎。此外，来自城市信息学、社会科学、自然科学和物联网等应用领域的手稿也被鼓励提交。所有论文应突出数据管理问题的创新解决方案，例如新的数据模型和性能增强，并展示这些创新如何有助于实现应用程序的目标。

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涉及主题	计算机科学程序设计语言操作系统数学工程类人工智能数据库数据挖掘哲学万维网情报检索经济
出版信息	出版商: Springer Verlag，出版周期: Bimonthly，期刊类型: book-series
基本数据	创刊年份: 2008，原创研究文献占比: 100.00%，自引率:6.70%， Gold OA占比: 22.77%
平均审稿周期	网友分享经验：平均6.0个月来源Elsevier官网：平均12.6周
平均录用比例	网友分享经验：较易

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研飞客户端支持数万种期刊查询，助你在阅读和写作中随时了解期刊动态

Lecture Notes in Business Information Processing

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！

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有5位以上作者的期刊

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专利引用格式

手工熬夜修改参考文献？研飞自动匹配期刊，一键轻松成稿，支持 Word/WPS

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帮你贴心管理全部的文献研飞ivySCI，高效的论文管理

帮你贴心管理全部的文献
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