Homeβ€ΊSearchβ€ΊData Mining and Knowledge Discovery

Data Mining and Knowledge Discovery

Springer Netherlands Β· Netherlands Β· Est. 1997

ISSN1384-5810eISSN1573-756X
SJR Q1βœ“ WOS SCIEβœ“ Scopus / SJR
90
/ 100
High Trust
PubScope credibility score from verifiable indexing & ethics signals
Score Breakdown
β—† WoS flagship (SCIE/SSCI/AHCI)78
βœ“ Corroboration (2 more)+12
Total90
Level data: Norwegian Register (HK-dir), NLOD 2.0. Β· Third-party records Β· how this is calculated Β· Report an error β†’
⚑ Speed vs Prestige
How does this journal balance review speed with impact level?
372
days submission β†’ published
measured Β· last 17 articles Β· accept 312d
Q1
SJR Rank
Top 25% in field
Impact Factor & Quartile Β· Web of Science (JCR)

βœ“ Indexed in the Web of Science Core Collection (SCIE) β€” Clarivate publishes an official Journal Impact Factor and JCR quartile for this journal.

See the official Impact Factor & quartile on the journal’s page β†—

The Impact Factor & JCR quartile are licensed by Clarivate β€” we link you to the official source instead of reprinting a number that can go out of date.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.

SJR Scorei
1.2
H-Indexi
140
CiteScore
ViewΒ β†—
Scopus metric Β· on the journal’s page
SNIPi
1.876
Total Worksi
1,346
Total Citationsi
112,403
2yr Mean Citednessi
4.00
Open Impact Factor alternative

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

Country / RegionNetherlands
Primary LanguageEnglish
1st Year Published1997
FrequencyBimonthly, 2006-
StatusActive (last: 2026)
Total Publications1,346
Publisher OrgSpringer Science+Business Media
Visit Journal Website

Submission Info

Peer Reviewβ€”
Review Timeβ€”
Acceptance Rateβ€”
OA Licenseβ€”
OA Rateβ€”

Ethics & Quality

COPE Memberβœ— No
OASPA Memberβœ— No
Not on Predatory Listsβœ“ Yes

Think.Check.Submit Compliance

6/12 Β· 50%
βœ…
Do you know the journal / publisher?
Springer Netherlands
βœ…
Does the journal have a website?
βœ“ Linked
βœ…
Is the ISSN verified?
1384-5810 / 1573-756X
βœ…
Indexed in a trusted database?
WoS, Scopus
❌
Peer review process documented?
N/A
❌
Follows ethical publishing standards (COPE)?
N/A
❌
APC fees clearly disclosed?
N/A
βœ…
Not on predatory/blacklists?
βœ“ Clean
❌
Long-term digital preservation?
N/A
❌
Plagiarism detection in place?
N/A
❌
Listed in DOAJ (verified OA)?
N/A
βœ…
Primary language documented?
English

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Publication & Citation Trend

Articles published
Citations received
57
4.4k
2019
58
4.3k
2020
81
1.2k
2021
92
2.3k
2022
94
1.8k
2023
89
839
2024
94
153
2025
57
19
2026

Source: OpenAlex Β· Each year’s green bar = citations earned by that year’s papers, counted to date β€” 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 β€” its quartile can differ by discipline.

Computer Networks and CommunicationsQ1
Computer Science ApplicationsQ1
Information SystemsQ1

Subject Classification

Web of Science Categories

Computer Science, Artificial IntelligenceComputer Science, Information Systems

Scopus Categories

Information SystemsComputer Networks and CommunicationsComputer Science Applications

Research Topics (OpenAlex)

Data Mining Algorithms and ApplicationsTime Series Analysis and ForecastingData Management and AlgorithmsAnomaly Detection Techniques and ApplicationsComplex Network Analysis TechniquesAdvanced Graph Neural NetworksRough Sets and Fuzzy LogicMachine Learning and Data ClassificationImbalanced Data Classification TechniquesAdvanced Clustering Algorithms Research

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. Its PubScope Trust Score is 90/100. Indexing is a transparency signal, not a guarantee β€” 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 β€” including Arts & Humanities and Emerging Sources titles β€” 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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How to tell if a journal is predatoryWhat Q1–Q4 quartiles meanWeb of Science vs Scopus vs DOAJWhat is an APC?

Data updated: 2026-05-22 Β· Sources: SJR, DOAJ, OpenAlex, WoS, Crossref