[Event at CIG] Erratum for the call of papers for the ECML PKDD 2022 journal track

[Albrecht Zimmermann]

Erratum for the call of papers for the ECML PKDD 2022 journal track

It has been brought to our attention that there's a bit of a conflict between the older svjour3 Springer journal style, and the new Springer Nature templates linked to from the Data Mining and Knowledge Discovery and Machine Learning journal sites.

The ECML PKDD 2022 journal track will allow submission using *either* of the two formatting styles. The new templates being a bit more space-hungry, 20 pages svjour3 translate into roughly 25 pages for the new template, which is therefore the page limit for the latter.

Paper should be submitted via the Data Mining and Knowledge Discovery (https://www.editorialmanager.com/dami/default.aspx) and Machine Learning journal (https://www.editorialmanager.com/mach/default.aspx) sites. The first cut-off data is October 8, 2021!