Data Mining and Knowledge Discovery
Impact Factor Trend (2018–2026)
Clarivate IF trend for Data Mining and Knowledge Discovery
SCImago Journal Rank citation prestige weighting
131 papers with at least that number of citations each
Aims & Scope
Advances in data gathering, storage, and distribution have created a need for computational tools and techniques to aid in data analysis. Data Mining and Knowledge Discovery in Databases (KDD) is a rapidly growing area of research and application that builds on techniques and theories from many fields, including statistics, databases, pattern recognition and learning, data visualization, uncertainty modelling, data warehousing and OLAP, optimization, and high performance computing.
Special Issues
Calls for PapersNo active Calls for Papers found for this journal.
WoS Categories & Quartiles
Detailed JCR / JCI category rankings and quartile breakdown from Clarivate
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
COMPUTER SCIENCE, INFORMATION SYSTEMS
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
COMPUTER SCIENCE, INFORMATION SYSTEMS
Annual Historical Statistics & Publications
Track annual publication volume, total citations, and Impact Factor evolution
SCImago & Scopus Journal Intelligence
Global SCImago ranking, SJR prestige index, Scopus coverage, and societal policy impact
Weighted prestige citation metric per document indexed in the Scopus database.
Average citations received per document published in the 2-year window.
Estimated Article Processing Charge for Open Access publication.
Scopus 3-Year Publication & Citation Window
Aggregated from Scopus database across the 3-year SJR evaluation window.
Societal Impact & Inclusivity (SCImago)
Citations in government and international policy documents
Percentage of female authors published in the journal
Real-world societal policy reach and author gender diversity tracked by SCImago.
Scopus Subject Categories
Journal Metrics & Citation Visualizations
Total Cites vs Self-Cites
Evaluation of scholarly independence and citation reach
Citations per Document
Citation metric windows across 2, 3, and 4 years
Chinese Academy of Sciences (CAS) Classification
Major / minor zone classification and CAS Early Warning List history
Academic Intelligence Overview & Context
ImpaQ AnalysisData Mining and Knowledge Discovery (acronym: dami, abbr: DATA MIN KNOWL DISC, ISSN: 1384-5810) is a peer-reviewed international scholarly journal in the field of Engineering & Technology, published by Springer US in Netherlands since 1997. The periodical holds a Journal Impact Factor (JIF) of 5.50, ranking in quartile Q2 of Web of Science (SCIE), a Scopus SJR indicator of 1.200 (Q1), an H-index of 131.
The journal enforces rigorous peer evaluation with a publication frequency of Bimonthly, an annual output of approximately 78 scientific articles. In terms of accessibility and author fees, it operates under the Hybrid model with an estimated APC of $3,568 USD. It serves as a benchmark publication platform for academics, researchers, and doctoral candidates seeking global research visibility.
Publishing & Editorial Information
Detailed publisher, peer-review turnaround, and publication cycle specifications
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