Data Mining and Knowledge Discovery

Data Mining and Knowledge Discovery is a Scientific Journal for Data Mining Discipline and Knowledge Discovery from Data Discipline published by Springer.

• See: ACM Transactions on Knowledge Discovery from Data.

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References

2009

• http://www.springer.com/computer/database+management+&+information+retrieval/journal/10618
  • The premier technical journal focused on the theory, techniques and practice for extracting information from large databases
  • 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.

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