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      Title: Pacific-Asia Conference on Knowledge Discovery and Data Mining

      Abbreviated: PAKDD

      First Year: 1997

      Introduction: The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is one longest established and leading international conferences in the areas of data mining and knowledge discovery. It provides an international forum for researchers and industry practitioners to share their latest developments, new ideas, original research results and practical development experiences from all KDD related areas including data mining, statistical and symbolic machine learning, databases, knowledge acquisition and automatic scientific discovery, data visualization, and knowledge-based systems.

      All papers published in the proceedings are peer reviewed by a committee of international researchers in data mining, often with an acceptance rate of less than 30%. The proceedings of each PAKDD conference are published by Springer-Verlag as part of the Lecture Notes in Artificial Intelligence series.

      Website: www.pakdd.org

      Period: 1 year | Ongoing: Still holding

    1. Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 2026
    2. Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 2025
    3. Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 2024
    4. Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 2023
    5. Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 2022
    6. Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 2021
    7. Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 2020
    8. Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 2019
    9. Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 2018
    10. Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 2017
    11. Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 2016
    12. Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 2015
    13. Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 2014
    14. Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 2013
    15. Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 2012
    16. PAKDD2011: The 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 2011
    17. The 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining PAKDD 2010 - PAKDD 2010
    18. Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 2009
    19. Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 2008
    20. Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 2007
    21. Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 2006
    22. Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 2005
    23. Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 2004
    24. Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 2003
    25. Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 2002
    26. Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 2001
    27. Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 2000
    28. Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 1999
    29. Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 1998
    30. Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 1997

    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.