Annals of Data Science

期刊简介：Annals of Data Science (ADS) publishes cutting-edge research findings, experimental results and case studies of data science. Although Data Science is regarded as an interdisciplinary field of using mathematics, statistics, databases, data mining, high-performance computing, knowledge management and virtualization to discover knowledge from Big Data, it should have its own scientific contents, such as axioms, laws and rules, which are fundamentally important for experts in different fields to explore their own interests from Big Data. ADS encourages contributors to address such challenging problems at this exchange platform. At present, how to discover knowledge from heterogeneous data under Big Data environment needs to be addressed.     ADS is a series of volumes edited by either the editorial office or guest editors. Guest editors will be responsible for call-for-papers and the review process for high-quality contributions in their volumes.

【译文】《数据科学年鉴》（ADS）发表数据科学领域的尖端研究成果、实验结果和案例研究。尽管数据科学被视为一个跨学科领域，它使用数学、统计学、数据库、数据挖掘、高性能计算、知识管理和虚拟化来从大数据中发现知识，但它应该有自己的科学内容，如公理、定律和规则，这对于不同领域的专家从大数据中探索自己的兴趣至关重要。ADS鼓励投稿者在这个交流平台上解决这样的挑战性问题。目前，如何在大数据环境下从异构数据中发现知识需要得到解决。ADS是一系列由编辑部或客座编辑编辑的卷。客座编辑将负责其卷的征稿和高质量贡献的评审过程。