SCIESCOPUSQ2
DATA MINING AND KNOWLEDGE DISCOVERY
SPRINGER, Netherlands
DATA MINING AND KNOWLEDGE DISCOVERY is an academic journal published by SPRINGER (Netherlands). Identifiers: ISSN 1384-5810, eISSN 1573-756X. Indexed in SCIE, SCOPUS. Metrics: JIF 4.3, CiteScore 8.2, SJR 1.019, SNIP 1.88. Subject areas: ARTIFICIAL INTELLIGENCE, COMPUTER SCIENCE, COMPUTER SCIENCE, INFORMATION SYSTEMS, INFORMATION SYSTEMS. tlooto lists 1,658 papers from this journal.
CiteScore
8.20
Scopus citation metric
SJR
1.019
SCImago rank
SNIP
1.88
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- 1384-5810
- eISSN
- 1573-756X
- Abbreviation
- DATA MIN KNOWL DISC
- Publisher
- SPRINGER
- Country
- Netherlands
Web of Science categories
SCIEARTIFICIAL INTELLIGENCE, COMPUTER SCIENCE, INFORMATION SYSTEMS
Scopus ASJC categories
170517061710
Keywords
Computer Science, Artificial Intelligence | Computer Science, Information Systems
Papers in this journal
Recent papers
- Dual policy-guided multi-hop path reasoning for explainable knowledge graph recommendation
2026
- A multi-class imbalanced data stream classification algorithm based on sample weighting and adaptive oversampling
2026
- Entropy-regularized multimodal fusion for robust and explainable knowledge graph completion
2026
- ReLiB-100k: a real-world 100k-scale dataset and comprehensive benchmark for capacity estimation of retired lithium-ion batteries
2026
- Differentiable parameter-less co-clustering using graph neural networks
2026
Most cited papers
- A Tutorial on Support Vector Machines for Pattern Recognition
1998 · 18,424 citations
- Deep learning for time series classification: a review
2018 · 3,272 citations
- Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach
2004 · 2,801 citations
- Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values
1998 · 2,740 citations
- Bursty and Hierarchical Structure in Streams
2002 · 2,507 citations