PACMMOD Volume 1, Issue 3: Editorial

Divyakant Agrawal, Alexandra Meliou, S. Sudarshan
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Abstract

We are excited to introduce this new issue of PACMMOD (Proceedings of the ACM on Management of Data). PACMMOD is a new journal, concerned with the principles, algorithms, techniques, systems, and applications of database management systems, data management technology, and science and engineering of data. It includes articles reporting cutting-edge data management, data engineering, and data science research. Articles published at PACMMOD address data challenges at various stages of the data lifecycle, from modeling, acquisition, cleaning, integration, indexing, querying, analysis, exploration, visualization, interpretation, and explanation. They focus on dataintensive components of data pipelines, and solve problems in areas of interest to our community (e.g., data curation, optimization, performance, storage, systems), operating within accuracy, privacy, fairness, and diversity constraints. Articles reporting deployed systems and solutions to data science pipelines and/or fundamental experiences and insights from evaluating real-world data engineering problems are especially encouraged.
PACMMOD第1卷,第3期:社论
我们很高兴地向大家介绍最新一期的PACMMOD (ACM数据管理论文集)。PACMMOD是一本新的期刊,关注数据库管理系统、数据管理技术、数据科学与工程的原理、算法、技术、系统和应用。它包括报道前沿数据管理、数据工程和数据科学研究的文章。在PACMMOD上发表的文章涉及数据生命周期各个阶段的数据挑战,包括建模、获取、清理、集成、索引、查询、分析、探索、可视化、解释和解释。他们专注于数据管道的数据密集型组件,并解决我们社区感兴趣的领域的问题(例如,数据管理,优化,性能,存储,系统),在准确性,隐私性,公平性和多样性约束下操作。特别鼓励文章报告数据科学管道的部署系统和解决方案,以及/或评估现实世界数据工程问题的基本经验和见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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