Data Mining and Knowledge Discovery

Springer Science+Business Media

Journal websitePeer review: Peer review
Evaluation status available after sign-in

About the journal

Data Mining and Knowledge Discovery is a journal published by Springer Science+Business Media in Netherlands. It is listed in PUBMED according to the sources read. Declared publication charge: 2,990 EUR. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.

Basic facts

Publisher
Springer Science+Business Media
ISSN
1384-5810 · 1573-756X
Country
Netherlands
Access
Not open access / not declared
Declared publication charge
2,990 EUR
Declared peer-review model
peer_review

Index listings

  • PUBMED · 2003-07-01
Indexing
PUBMED
APC
2,990 EUR
Declared review time (DOAJ)
—
Activity (OpenAlex)
Active — latest works 2026
PublishLens list status
Shown after sign-in
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Methodology signals (dated facts from their sources)

Details of the evaluation under the published methodology are shown to signed-in users (free).

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Journal profile

Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.

Works in OpenAlex

1369

Last recorded publication year

2026

Reported by OpenAlex in 1 of 3 sources (CC0 flags, not verified indexing)DOAJSciELOOpenAlex Core

h-index

141

i10-index

814

From OpenAlex open data (CC0).

Editorial & policy6
Observed digital preservation (Keepers registry)— snapshot 2026-10-05
CLOCKSSPortico
Editorial board
Official page ↗
Norwegian register (HK-dir)— 2027
Level 2 — top tier (~20% of the field's channels)
Open references deposited at Crossref
96%
ORCID iDs in current deposits
35%
Enrolled in Crossref Similarity Check
✓
Deposits licence metadata at Crossref
✓
Identity & continuity2
Source type
journal
NLM unique ID (PubMed)
101512456
Classification(no data)

No data available to the platform for this group

No platform data for: Classification — absence is not a judgment about the journal.

Subject areas

  • Data Mining Algorithms and Applications
  • Data Mining Algorithms and Applications
  • Time Series Analysis and Forecasting
  • Time Series Analysis and Forecasting
  • Data Management and Algorithms
  • Data Management and Algorithms
  • Anomaly Detection Techniques and Applications
  • Anomaly Detection Techniques and Applications
Show all subjects (50)
  • Complex Network Analysis Techniques
  • Complex Network Analysis Techniques
  • Advanced Graph Neural Networks
  • Advanced Graph Neural Networks
  • Rough Sets and Fuzzy Logic
  • Rough Sets and Fuzzy Logic
  • Machine Learning and Data Classification
  • Machine Learning and Data Classification
  • Imbalanced Data Classification Techniques
  • Imbalanced Data Classification Techniques
  • Advanced Clustering Algorithms Research
  • Advanced Clustering Algorithms Research
  • Data Stream Mining Techniques
  • Data Stream Mining Techniques
  • Face and Expression Recognition
  • Face and Expression Recognition
  • Topic Modeling
  • Topic Modeling
  • Recommender Systems and Techniques
  • Recommender Systems and Techniques
  • Bayesian Modeling and Causal Inference
  • Bayesian Modeling and Causal Inference
  • Algorithms and Data Compression
  • Algorithms and Data Compression
  • Explainable Artificial Intelligence (XAI)
  • Explainable Artificial Intelligence (XAI)
  • Music and Audio Processing
  • Music and Audio Processing
  • Advanced Database Systems and Queries
  • Advanced Database Systems and Queries
  • Advanced Text Analysis Techniques
  • Advanced Text Analysis Techniques
  • Machine Learning and Algorithms
  • Machine Learning and Algorithms
  • Privacy-Preserving Technologies in Data
  • Complex Systems and Time Series Analysis
  • Complex Systems and Time Series Analysis
  • Privacy-Preserving Technologies in Data
  • Data Quality and Management
  • Data Quality and Management
  • Neural Networks and Applications
  • Neural Networks and Applications

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The journal's record in other sources:Web of Science MJLDOAJ

Everything shown here is produced automatically from named sources (DOAJ, OpenAlex, Crossref, PubMed, the Norwegian register) as of its capture date, with no human editing. Facts appear as recorded at the source; derived scores (PCI, PTD, PublishLens score) follow a published methodology. Not a judgement on the journal, not an official accreditation, not advice.

Wrong items are corrected automatically by re-reading the source (24 h for daily sources, 7 days for weekly ones) with a dated change log, and each item links to its source record. PublishLens-derived assessments are contested through the appeals mechanism (15 working days). Appeals · Indicator guide

Norwegian register data: Kanalregisteret (HK-dir, Norway) — CC BY 4.0 / NLOD — adapted: level extracted per year · OASPA member list — CC BY

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