The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD) includes a PhD session on machine learning and knowledge discovery in databases and related application domains.  The objective of the session is to provide an environment for students to exchange in an interactive atmosphere their ideas and experiences with peers and to get constructive feedback from senior researchers in machine learning, data mining and related areas.

The topics for discussion will be ideas of students and their ongoing work in preparation of their PhD dissertations and their interests in machine learning and data mining. The target audience for the session is mainly PhD students, their advisors, and interested researchers and attendees of ECML/PKDD. During the PhD session, researchers with experience in supervising and examining PhD students will be able to participate and provide feedback and advice to participants. It will be an excellent opportunity for developing person-to-person networks to the benefit of the community and PhD students in their future careers.

Call for papers

We invite PhD students (PhD in progress or defended not earlier than 31st December 2013) interested in machine learning and/or knowledge discovery in databases, to submit papers on all aspects of machine learning, knowledge discovery and data mining, including real-world applications. Research fields in which machine learning and data mining benefit from cross-fertilization are welcome.

The submissions need to propose research ideas that are mature enough to be presented as a paper and whose content can evolve to become a substantial part of a PhD dissertation. The work may be in progress. Papers submitted to the PhD session may include the following items:

• Motivation, problem description
• Background and related work (including key references)
• Novelty and significance relative to the state of the art
• Approach, data, methods and proposed experiments
• Results obtained and work in progress

The first author must be a PhD student or a Masters student with a concrete PhD research idea. Co-authors may include the research advisors, committee members anill be published in session proceedings which
will be available through the conference website.d other collaborators as needed.

Papers submitted to ECML/PKDD 2014 PhD session will be peer-reviewed.  Accepted papers will be presented in the special PhD session at ECML/PKDD 2014 and will be published in the session proceedings which will be available through the conference website. The PhD student must register for the conference and give an oral presentation at the PhD session.

Submission

The papers must be written in English and formatted according to the Springer LNAI guidelines. Authors instructions and style files can be downloaded at:
http://www.springer.de/comp/lncs/authors.html
The maximum length of papers is 10 pages in this format.  

All aspects of the submission and notification process are handled online through the conference CMT submission system (https://cmt.research.microsoft.com/ECMLPKDD2014/), select from the menu the PhD track.