Annals of Data Science

Journal Title

Annals of Data Science

ISSN / eISSN

2198-5804 / 2198-5812

Aims and Scope

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.

Subject Area

N/A

CiteScore

6.50 View Trend

CiteScore Ranking

Category	Quartile	Rank
Decision Sciences - Statistics, Probability and Uncertainty	Q1	#16/168
Decision Sciences - Business, Management and Accounting (miscellaneous)	Q1	#26/189
Decision Sciences - Computer Science Applications	Q2	#224/817
Decision Sciences - Artificial Intelligence	Q2	#124/350

Web of Science Core Collection

Science Citation Index Expanded (SCIE)	Social Sciences Citation Index (SSCI)
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Publisher

Springer Nature

Publication Frequency

6 issues per year

Open Access

NO