Annals of Data Science
| Abbreviation | Ann. Data Sci. |
| ISSN | 2198-5804, 2198-5812 |
| h-index | 27 |
The Annals of Data Science (ADS) publishes cutting-edge research findings, experimental results, and case studies in the field of data science. Data science is recognized as an interdisciplinary domain that employs mathematics, statistics, databases, data mining, high-performance computing, knowledge management, and virtualization to extract knowledge from Big Data. However, it is essential for data science to have its own scientific content, such as axioms, laws, and rules, which are crucial for experts in various fields to explore their interests within Big Data. ADS encourages contributors to tackle these challenging issues on this exchange platform. Currently, addressing how to discover knowledge from heterogeneous data in a Big Data environment remains a significant challenge. ADS is a series of volumes edited by either the editorial office or guest editors, who are responsible for the call-for-papers and the review process to ensure high-quality contributions in their volumes.
HomepageSubmission URL| Publication Information | Publisher: Springer Science and Business Media Deutschland GmbH，Publishing cycle: 6 issues per year，Journal Type: journal，Open Access Journals: No |
| Basic data | Year of publication: 2014，Proportion of original research papers: 0.00%，Self Citation Rate:N.A.， Gold OA Rate: 0.00% |
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