Hasso-Plattner-Institut
 
    • de
Hasso-Plattner-Institut
Prof. Dr. Emmanuel Müller
  
 

Lernen. Wissen. Daten. Analysen. (LWDA 2016)

CALL FOR PAPERS: FG-KDML 2016

Workshop on Knowledge Discovery, Data Mining and Machine Learning (KDML)

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 LWDA 2016 – Learning, Knowledge, Data, Adaptation – conference.

September 12th to 14th, 2016 at Hasso Plattner Institute, Potsdam, Germany

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 submission.

Program Chairs

Dr. Stephan Günnemann, Technical University of Munich (guennemann(at)in.tum.de)
Prof. Dr. habil. Ansgar Scherp, ZBW - Leibniz Information Centre for Economics and Kiel University (a.scherp(at)zbw.eu)

 Program Committee

 

  • Achim Rettinger, Karlsruhe Institute of Technology
  • Alexander Hinneburg, Martin-Luther-University Halle-Wittenberg
  • Alexander Dallmann, University of Würzburg
  • Andreas Hotho, University of Würzburg
  • Arthur Zimek, Ludwig-Maximillians-Universität München
  • Christian Bauckhage, Fraunhofer IAIS
  • Florian Lemmerich, University of Wuerzburg
  • Gerd Stumme, University of Kassel
  • Hannes Mühleisen, Centrum Wiskunde & Informatica (CWI)
  • Kristian Kersting, TU Dortmund University
  • Martin Atzmueller, University of Kassel
  • Martin Becker, University of Würzburg
  • Marwan Hassani, RWTH Aachen University
  • Nico Piatkowski, TU Dortmund University
  • Ralf Krestel, Hasso Plattner Institute
  • Robert Jäschke, L3S Research Center
  • Robin Senge, inovex GmbH
  • Stephan Doerfel, University of Kassel
  • Thomas Niebler, University of Wuerzburg
  • Ulf Leser, Humboldt-Universität zu Berlin
  • Ute Schmid, University of Bamberg

 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 such as social networks and Linked Open Data
  • 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
  • Deep learning
  • Semantic in data mining and machine learning
  • Applications of data mining in all domains including social, web, digital libraries, bioinformatics, and finance
  • Tools for data mining and machine learning
  • Open source frameworks and tools for data mining and machine learning

Types of Submissions

We solicit submissions under two different models:

  • full papers (peer-reviewed and to be published by LWDA, up to 12 pages)
  • presentations (peer-reviewed and to be published by LWDA 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 LWDA proceedings. For the second model, an extended abstract (1 page) will be included in the LWDA proceedings. Submissions are welcome in English and German. However, submissions in English are preferred. All papers should be formatted according to the Springer LNCS guidelines and are to be submitted as PDF files to EasyChair. 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 and will be indexed by DBLP. All workshop participants have to register for the LWDA 2016 conference.

Important Dates

Submission deadline: June 30, 2016
Acceptance notification: July 15, 2016
Camera-ready copy: August 15, 2016
LWDA 2016 Conference: September 12-14, 2016

For further information visit this website (http://hpi.de/mueller/lwda-2016.html), which is going to be permanently updated, or contact the program chairs via e-mail.