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LWA/KDML 2015 : Workshop on Knowledge Discovery, Data Mining and Machine Learning | |||||||||||||||||
Link: http://lwa2015.wi2.uni-trier.de/call-for-papers-kdml-2015/ | |||||||||||||||||
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Call For Papers | |||||||||||||||||
# Call for Papers: 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 (http://lwa2015.wi2.uni-trier.de/), 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: 1. full papers (peer-reviewed and to be published by LWA, up to 12 pages) 2. 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. ## KEY DATES - 15.6. -- abstract submission deadline - 1.7. -- paper submission deadline - 3.8. -- author notification - 11.9. -- camera-ready copy - 7.-9.10. -- workshop For further information visit (http://lwa2015.wi2.uni-trier.de/) which is going to be permanently updated, or contact the program chairs via e-mail. ## PROGRAM CHAIRS - Robert Jäschke, L3S Research Center (jaeschke@l3s.de) - Emmanuel Müller, Karlsruhe Institut of Technology (emmanuel.mueller@kit.edu) ## PROGRAM COMMITTEE - Martin Atzmueller - Christian Bauckhage - Daniel Bengs - Wouter Duivesteijn - Johannes Fürnkranz - Stephan Günnemann - Matthias Hagen - Alexander Hinneburg - Andreas Hotho - Frederik Janssen - Kristian Kersting - Marius Kloft - Ralf Krestel - Florian Lemmerich - Ulf Leser - Eneldo Loza Mencía - Hannes Mühleisen - Nico Piatkowski - Achim Rettinger - Elena Sapozhnikova - Ansgar Scherp - Ute Schmid - Robin Senge - Arthur Zimek |
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