European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD 2017)

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery will take place in Skopje, Macedonia, September 18–22, 2017. This event is the premier European machine learning and data mining conference and builds upon a very successful series of 27 ECML and 20 PKDD conferences, which have been jointly organized for the past 15 years.

We invite submissions for the journal track of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD) 2017. The journal track of the conference is implemented in partnership with the Machine learning journal and the Data mining and Knowledge Discovery journal. The conference provides an international forum for the discussion of the latest high-quality research results in all areas related to machine learning, data mining, and knowledge discovery.

Papers on all topics related to machine learning, knowledge discovery, and data mining are invited. However, given the special nature of the journal track, only papers that satisfy the quality criteria of journal papers and at the same time lend themselves to conference talks will be considered. This implies that journal versions of previously published conference papers, or survey papers will not be considered for the special issue. Papers that do not fall into the eligible category may be rejected without formal reviews but can of course be resubmitted as regular papers.

Authors are encouraged to adhere to the best practices of Reproducible Research (RR), by making available data and software tools for reproducing the results reported in their papers. For the sake of persistence and proper authorship attribution, we require the use of standard repository hosting services such as dataverse, mldata, openml, etc. for data sets, and mloss, bitbucket, github, etc. for source code.

Authors who submit their work to the special ECMLPKDD issues of the journals commit themselves to present their results at the ECMLPKDD 2017 conference in case of acceptance.