ECML PKDD Call for Research/Applied Data Science papers(ECML PKDD 2020)

September 14-18, 2020, Ghent, Belgium

Call for Papers

In the Research Track, we invite submissions of research papers from all areas of knowledge discovery, data mining and machine learning. Following the tradition of ECML-PKDD, we are looking for high-quality papers in terms of novelty, technical quality, potential impact, and clarity of presentation. Papers should demonstrate that they provide a significant contribution to the field (e.g., improve the state-of-the-art or provide a new theoretical insight).

Topics of Interest :

• Data mining, data analytics, data science
• Applied machine learning with demonstrate significant
• Verifiable business- or real-world impact
• Data Mining applications to the real-world
• Machine Learning
• Industry 4.0 (Industry Applications)
• Business Innovations and Digital Transformation
• Data-Driven Business Applications

Paper Submission

Papers must be written in English and formatted according to the Springer LNCS guidelines. Author instructions, style files and the copyright form can be downloaded at http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines.

The maximum length of papers is 16 pages (including references) in this format. The program chairs reserve the right to reject any over-length papers without review. Papers that 'cheat' the page limit by, including but not limited to, using smaller than specified margins or font sizes will also be treated as over-length. Note that for example negative vspaces are also not allowed by Springer's formatting guidelines.

Important Dates