Call For Papers

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. Submissions of papers that describe the application of machine learning and data mining methods to real-world problems are encouraged, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques. Submissions that demonstrate both theoretical and empirical rigor are especially encouraged.

Key Dates

  • Paper Submission deadline: April 25
  • Paper Acceptance Notification: June 13
  • Paper Camera Ready: June 22

Proceedings

The conference proceedings will be published by Springer. A selection of papers will be directly published in the Machine Learning Journal or in the Data Mining and Knowledge Discovery Journal. All other accepted submissions will be published in the Lecture Notes in Artificial Intelligence Series.

Presentations and Posters

Authors of accepted papers will be required to present their work at the conference and present a poster on their work at the poster reception.

Submissions

ECML PKDD 2008 will not accept any paper which, at the time of submission, is under review or has already been accepted for publication in a journal or another conference. Authors are also expected not to submit their papers elsewhere during the review period of ECML PKDD 2008.

The papers must be in English and must be formatted according to the Springer-Verlag Lecture Notes in Artificial Intelligence guidelines. Authors instructions and style files can be downloaded at http://www.springer.de/comp/lncs/authors.html. The maximum length of papers is at most 16 pages in this format.

Papers submitted to ECML PKDD 2008 will normally be reviewed by three referees. There will be no "blind review" process. Student submissions should be clearly indicated on the submission form.