Call for Papers

ECML PKDD is among the premier scientific forums in machine learning and data mining: this call invites you to submit your latest results in these areas.

All papers presenting new and insightful results in machine learning and data mining are welcome, specifically papers addressing (non exhaustive list):

  • new settings and goals (from interactive learning to security and privacy);
  • new hypothesis spaces and algorithms (deep, hybrid, combinatorial, condensed, infinite, and beyond);
  • new applications (robotics, games, environmental, social, text);
  • computational issues (hierarchical, high performance, decentralized);
  • negative results: where do the frontiers of intractability lie?

Selection criteria include soundness and reproducibility, originality, boldness with respect to theory or applications.

Proceedings and Journals:

The conference proceedings will be published by Springer, Lecture Notes in AI series

Further, following last years tradition, a selection of the submitted papers will be published directly in two special issues, of Machine Learning Journal and Data Mining and Knowledge Discovery respectively.


Authors should not submit any paper which is under review or which has been accepted for publication in a journal or another conference; neither should they submit their papers elsewhere during the review period of ECML PKDD 2010.

Papers must be written in English and formatted according to the Springer LNCS guidelines:


The maximum length is 16 pages . Papers that are not formatted according to these guidelines will be rejected without review.

Papers submitted to ECML PKDD 2010 will normally be reviewed by minimum three referees and one meta-reviewer (area-chair). Student submissions should be clearly indicated on the submission form.

Key Dates:

  • Abstract due: April 23, 2010
  • Papers due: April 30, 2010
  • Notification: June 21, 2010

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