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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.

This is a transformative journal, you may have access to funding.

Main Editor
  • Eyke Hüllermeier
Impact factor
4.8 (2022)
5 year impact factor
5.7 (2022)
Submission to first decision (median)
30 days
453,666 (2023)

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Abstracted and indexed in
  1. ACM Digital Library
  2. ANVUR
  3. BFI List
  4. Baidu
  6. CNKI
  8. Current Contents/Engineering, Computing and Technology
  9. Current Index to Statistics
  10. DBLP
  11. Dimensions
  12. EBSCO
  13. EI Compendex
  14. Google Scholar
  15. INSPEC
  16. Japanese Science and Technology Agency (JST)
  17. Mathematical Reviews
  18. Naver
  19. OCLC WorldCat Discovery Service
  20. Portico
  21. ProQuest
  22. SCImago
  23. SCOPUS
  24. Science Citation Index Expanded (SCIE)
  25. TD Net Discovery Service
  26. UGC-CARE List (India)
  27. Wanfang
  28. zbMATH
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