Data Analysis and Knowledge Discovery Archives

Author: Data Analysis and Knowledge Discovery

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Data Analysis and Knowledge Discovery

Data Analysis and Knowledge Discovery is a scholarly research journal founded in 2017, published monthly by the National Science Library of Chinese Academy of Sciences, under the auspices of Chinese Academy of Sciences.

Journal Focus

The Journal focuses on basic and applied research of theories, methods, systems, and best practices, for big data-based and computationally analytics-driven decision &policy analysis, in all the data-intensive and knowledge-driven fields. Special attention is given to computational discovery to detect and predict structures, trends, behaviors, relations, disruptions, and evolutions.

The journal takes full advantages of the convergence of computer science, complexity theories, data science, management science, policy research, behavior science, scientometrics, social metrics, digital science & digital humanities, and information science. The journal aims to support the research & application to transform data to information to knowledge to wisdom to intelligent solutions, and to embed the theories, technologies, and practices into intelligent management and decision-making in all the fields and industries.

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AI-Native for Data Intelligence: Constructing a Conceptual System and Evolution Framework from an International Standardization Perspective

by Data Analysis and Knowledge Discovery April 7, 2026 0

As artificial intelligence becomes deeply embedded in communication networks, software architectures, and industrial systems, AI-Native has fundamentally changed... Read more.