KDML is a workshop series that aims at bringing together the German Machine Learning and Data Mining community. The KDML 2018 Workshop is co-located with the annual LWDA 2018 – Learning, Knowledge, Data, and Analysis – conference and will take place 22 August to 24th, 2018, at the University of Mannheim in Germany.
We invite submissions on all aspects of data mining, knowledge discovery, and machine learning. In addition to original research, we also invite reports on preliminary results and resubmissions of recently published articles. Moreover, KDML explicitly invites student submissions.
Topics of interest include but are not limited to
Types of Submissions
We solicit submissions under three different models:
For all submission models, authors will have the opportunity to give a presentation at KDML. Depending on the number of submissions, this may include both oral and poster presentations. Accepted full and short papers will be included in the LWDA proceedings.
Submissions are welcome in English and German. However, submissions in English are preferred. All papers have to be formatted according to theSpringer LNCS guidelines and are to be submitted as PDF files to EasyChair using this link. Please select the track Knowledge Discovery, Data Mining and Machine Learning.
At least two independent reviewers will review both full and short paper submissions. The conference proceedings will be published asCEUR Workshop Proceedings and will be indexed by DBLP. All workshop participants have to register for the LWDA 2018 conference.
Prof. Dr. Kristian Kersting, TU Darmstadt
Prof. Dr. Heiko Paulheim, Universität Mannheim