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LWA/KDML 2014 : Workshop on Knowledge Discovery, Data Mining and Machine Learning | |||||||||||||||
Link: http://dme.rwth-aachen.de/lwa-2014/?page_id=8 | |||||||||||||||
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Call For Papers | |||||||||||||||
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Call for Papers / Final Deadline Extension KDML-2014 WORKSHOP ON KNOWLEDGE DISCOVERY, DATA MINING AND MACHINE LEARNING Aachen, September 8th to 10th, 2014 Final paper submission deadline: July 13th, 2014 ------------------------------------------------------------------------ KDML is a series of workshops that aims to bring the German Machine Learning and Data Mining community together. The KDML Workshop is colocated with the annual LWA 2014 - Learning, Knowledge, Adaptation - conference (http://dme.rwth-aachen.de/en/lwa2014), which is going to take place in Aachen from September 8th to 10th, 2014. We invite submissions on all aspects of data mining, knowledge discovery and machine learning. Beside 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 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 * full papers (up to 12 pages) * short papers (up to 6 pages): position papers, work in progress, demonstration papers With respect to other (previous or future) publications, authors can choose to have an extended abstract (1-2 pages) included in the proceedings instead of the actual reviewed paper. Submissions are welcome in English and German. All papers should be formatted with Springer LNCS (see www.springer.de/comp/lncs/ authors.html) and are to be submitted as PDF files to EasyChair (https://www.easychair.org/conferences/?conf=lwa2014). Please select the track Knowledge Discovery, Data Mining and Machine Learning@LWA2014. All submissions 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 LWA2014 conference. KEY DATES * 15.6./29.6. Paper submission deadline * 13.7. Final paper submission deadline * 25.7. Author notification for the original submission deadline * 1.8. Author notification (extended deadline papers) * 8.8. Camera ready * 8.9.-10.9.2014 Workshop For further information, please visit http://dme.rwth-aachen.de/lwa-2014/ which is going to be permanently updated, or contact the program chairs by e-mail. PROGRAM CHAIRS * Florian Lemmerich, Uni Würzburg (lemmerich@informatik.uni-wuerzburg.de) * Eneldo Loza Mencía, TU Darmstadt (eneldo@ke.tu-darmstadt.de) PROGRAM COMMITTEE * Martin Atzmüller * Christian Bauckhage * Daniel Bengs * Wouter Duivesteijn * Johannes Fürnkranz * Stephan Günnemann * Andreas Hotho * Kristian Kersting * Peer Kröger * Emmanuel Müller * Nico Piatkowski * Ute Schmid * Lars Schmidt-Thieme * Robin Senge * Albrecht Zimmermann |
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