The premier technical publication in the field, Data Mining and Knowledge Discovery is a resource collecting relevant common methods and techniques and a forum for unifying the diverse constituent research communities.

The journal publishes original technical papers in both the research and practice of data mining and knowledge discovery, surveys and tutorials of important areas and techniques, and detailed descriptions of significant applications.

Coverage includes:

- Theory and Foundational Issues

- Data Mining Methods

- Algorithms for Data Mining

- Knowledge Discovery Process

- Application Issues.

  • The premier technical journal focused on the theory, techniques and practice for extracting information from large databases.
  • Publishes original technical papers in both the research and practice of data mining and knowledge discovery, surveys and tutorials of important areas and techniques, and detailed descriptions of significant applications.

Journal information

Editor-in-Chief
  • Johannes Fürnkranz
Publishing model
Hybrid. Open Access options available

Journal metrics

2.879 (2018)
Impact factor
3.506 (2018)
Five year impact factor
53 days
Submission to first decision
17 days
Acceptance to publication
144,118 (2018)
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About this journal

Electronic ISSN
1573-756X
Print ISSN
1384-5810
Abstracted and indexed in
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  3. Current Index to Statistics
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  12. Institute of Scientific and Technical Information of China
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  14. Journal Citation Reports/Science Edition
  15. Mathematical Reviews
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  34. WTI Frankfurt eG
  35. zbMATH
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