Data Analysis and Knowledge Discovery
Published by Chinese Academy of Sciences
ISSN : 2096-3467
Abbreviation : Data Anal. Knowl. Discov.
Aims & Scope
The journal adopts an evolving definition of data, including metadata or full content data, text or non-textural data, structured or non-structural data, domain specific or cross-domain data, rich media or compound data, and interactive data.
The journal builds upon the development of theories, methods, technologies, and practices from many fields to stimulate, support, and strengthen data-based, semantically rich, computationally sound, and analytic-driven knowledge discovery theories, methods, tools, supporting infrastructures, and enabling policies.
View Aims & ScopeMetrics & Ranking
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 0.218 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q3 |
h-index
| Year | Value |
|---|---|
| 2024 | 12 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 20165 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 447 |
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Social Sciences, designed to support cutting-edge academic discovery.