Data Mining and Knowledge Discovery
Springer Netherlands · Netherlands · Est. 1997
✓ Indexed in the Web of Science Core Collection (SCIE) — Clarivate publishes an official Journal Impact Factor and JCR quartile for this journal.
See the official Impact Factor & quartile on the journal’s page ↗The Impact Factor & JCR quartile are licensed by Clarivate — we link you to the official source instead of reprinting a number that can go out of date. Open metrics below: SCImago Q1. Source: Clarivate Journal Citation Reports.
Aims & Scope
Data Mining and Knowledge Discovery is a leading technical journal focusing on the extraction of information from vast databases. Publishes original research papers and practice in data mining and knowledge discovery. Provides surveys and tutorials of important areas and techniques. Offers detailed descriptions of significant applications. Addresses theory, foundational issues, data mining methods, and knowledge discovery processes. Renowned for its focus on techniques and applications.
General Information
Submission Info
Ethics & Quality
Think.Check.Submit Compliance
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.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
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
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Subject Classification
Web of Science Categories
Scopus Categories
Research Topics (OpenAlex)
Frequently asked questions about Data Mining and Knowledge Discovery
Is Data Mining and Knowledge Discovery a predatory journal?
PubScope has no integrity flags on record for Data Mining and Knowledge Discovery: it is indexed in Web of Science, Scopus, and is not on DOAJ's withdrawn list. Indexing is a transparency signal, not a guarantee — always confirm fit and policies before submitting.
What is the impact factor of Data Mining and Knowledge Discovery?
Data Mining and Knowledge Discovery is indexed in the Web of Science Core Collection, so Clarivate publishes an official Journal Impact Factor for it (since the 2023 Journal Citation Reports, every Core Collection journal — including Arts & Humanities and Emerging Sources titles — receives one). PubScope links to Clarivate's official source rather than reprinting the number, which can be out of date. Its open 2-year mean citedness is 4.00.
Is Data Mining and Knowledge Discovery indexed in Scopus and Web of Science?
Data Mining and Knowledge Discovery is indexed in Web of Science, Scopus.
What is the aims and scope of Data Mining and Knowledge Discovery?
Data Mining and Knowledge Discovery is a leading technical journal focusing on the extraction of information from vast databases. Publishes original research papers and practice in data mining and knowledge discovery. Provides surveys and tutorials of important areas and techniques. Offers detailed descriptions of significant applications. Addresses theory, foundational issues, data mining methods, and knowledge discovery processes. Renowned for its focus on techniques and applications.
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See all →Data updated: 2026-05-22 · Sources: SJR, DOAJ, OpenAlex, WoS, Crossref