Data Analysis and Knowledge Discovery

Aims & Scope✦ Compiled from public sources

Data Analysis and Knowledge Discovery focuses on basic and applied research of theories, methods, systems, and best practices for big data-based and computationally analytics-driven decision and policy analysis. It covers computational discovery to detect and predict structures, trends, behaviors, relations, disruptions, and evolutions, with major areas including big data mining and knowledge discovery techniques such as social network analysis, technology and industry analysis, competitive intelligence, public opinion monitoring, knowledge mapping, and decision making analysis.

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A twelfth criterion — whether APC fees are clearly disclosed — is not scored here; it is left out of the total rather than counted as a failure. Publication charges appear in the metrics card above.

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Source: OpenAlex · Each year’s green bar = citations earned by that year’s papers, counted to date — so recent years look lower simply because their papers haven’t had time to be cited yet.

SJR Quartile by Discipline

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Subject Classification