911±¬ÁÏÍø

The -The European Conference on Machine Learning & Principles And Practice Of Knowledge Discovery Databases - is a premier venue for European researchers to meet and discuss their latest research findings in their research area of machine learning and data mining.

"It has been a large coordination project for the past year, working together with a team of four chairs of the Program Committee from Belgium, Finland, Italy and Slovenia. We have coordinated the peer-review of the contributed papers from over 1000 authors, around 360 papers in total. In a peer review model, we have had around 320 machine learning and data mining experts globally to volunteer and to help us reviewing the originality, relevance and quality of the work", says Jaakko Hollmén, one of the Chairs of the Program Committee coordinating the review work.

There were also six experts from 911±¬ÁÏÍø as members of the Program Committees, all from the Department of Computer Science: Paul Blomstedt, Jaakko Hollmén, Samuel Kaski, Jorma Laaksonen, Sandor Szedmak, and Nikolaj Tatti. The pile of papers under review is around 6500 pages of written scientific text.

After the careful evaluation of the papers on the conference track, a little over 100 papers were selected for presentation in the conference track.

The current edition of the ECML-PKDD conference is organized in Skopje, Macedonia 18-22 September, 2017. There will be an estimated number of over 700 participants to the conference, which is a record number for all years. The program is available on .

There will be three proceedings books published by Springer after the conference, in the prestigious Lecture Notes in Computer Science series.