ECML-PKDD 2013 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) provides 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, as well as their application in innovative application domains.

The 2013 edition of ECML PKDD will have, next to the usual proceedings track, a new journal track in collaboration with Machine Learning and Data Mining and Knowledge Discovery. Articles can be submitted to the journal track all year long, while the proceedings track will have one deadline in April.

Submissions to the journal track should meet the standards of the journals, and, additionally, be concise and lend themselves to oral presentation at a conference. Articles focusing on consolidation of earlier work are less suitable for this track. Submissions will benefit from a streamlined reviewing process that allows for notification within 8 weeks. Resubmission of revised versions is possible. Upon acceptance, submissions automatically earn a presentation slot at the conference, and an abstract of the article will be included in the proceedings. More information about this new submission model is available here.

Submissions are invited on all aspects of machine learning, knowledge discovery and data mining, including real-world applications. Journal submissions should present work that is novel, timely, and constitutes a clearly delineated piece of research that can be considered finished. Submissions to the proceedings track ideally present innovative ideas that are inspiring, provoke discussion, and/or are demonstrated to have a large potential.

Important criteria for all submissions are their:

potential to inspire the research community by introducing new and relevant problems, concepts, solution strategies, and ideas
contribution to solving a problem widely recognized as both challenging and important
capability to address a novel area of impact of machine learning and data mining
scientific rigor, correctness, reproducibility of experiments
presentation quality: preciseness and clarity is required

Proceedings track:

abstract submission: Thursday, April 18, 2013
paper submission: Monday, April 22, 2013
notification: Friday, June 14, 2013
camera ready copy: Friday, June 28, 2013
Conference: September 23-27, 2013