LWA/KDML 2015 - Workshop on Knowledge Discovery, Data Mining and Machine Learning

KDML is a series of workshops that aims to bring the German Machine Learning and Data Mining community together. The KDML Workshop is co-located with the annual LWA 2015 ? Learning, Knowledge, Adaptation ? conference, which is going to take place in Trier from October 7th to 9th, 2015. We invite submissions on all aspects of data mining, knowledge discovery and machine learning. Besides original research publications, also preliminary results and resubmissions of recently published articles are invited. KDML also explicitly invites student submissions.
Topics of interest include but are not limited to
Foundations, algorithms, models, and theory of machine learning and data mining
Methods of supervised, semi-supervised and unsupervised learning
Multiobjective learning
Rule-based learning and pattern mining
Network and graph mining
Temporal, spatial & spatiotemporal data mining
Text mining and mining, mining unstructured and semi-structured data
Web mining
Distributed data mining
Data stream mining
Visual analytics
Big Data
Applications of data mining in all domains including social, web, bioinformatics, and finance
Tools for data mining and machine learning
SUBMISSIONS
We solicit submissions under two different models:
full papers (peer-reviewed and to be published by LWA, up to 12 pages)
presentations (peer-reviewed and to be published by LWA in a 1-page abstract), e.g., recent publications at top international venues, visionary ideas, work in progress, demonstration systems, industrial challenges, …
Please note, that w.r.t. both models authors will have the opportunity to give a presentation at KDML. For the first model, a full paper will be published in the LWA proceedings. For the second model, an extended abstract (1 page) will be included in the LWA proceedings. Submissions are welcome in English and German. All papers should be formatted according to the Springer LNCS guidelines (see http://www.springer.de/comp/lncs/authors.html) and are to be submitted as PDF files to EasyChair https://easychair.org/conferences/?conf=lwa2015. Please select the track Knowledge Discovery, Data Mining and Machine Learning.
All submissions (under both models) will be reviewed by at least two independent reviewers. The conference proceedings will be published as CEUR Workshop Proceedings (CEUR-WS.org) and will be indexed by DBLP. All workshop participants have to register for the LWA 2015 conference.