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** Please forward to anyone who might be interested **
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CALL FOR PAPERS
2013 KDML Workshop on
Knowledge Discovery, Data Mining and Machine Learning
http://www.minf.uni-bamberg.de/lwa2013/cfp/kdml/
October 7-9, 2013 - Bamberg, Germany
*** Paper submission deadline: July 15th, 2013 ***
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The GI-Special Interest Group "Knowledge Discovery, Data Mining and
Machine Learning" (FG-KDML) calls for submissions to
2013 KDML Workshop Knowledge Discovery, Data Mining and Machine Learning
taking place at the LWA 2013 in Bamberg, Germany, 7th-9th October 2013.
We invite submissions on all aspects of data mining, knowledge discovery
and machine learning. Besides new work, we also invite preliminary
results and resubmissions of articles published or disseminated at
international conferences or journals no earlier than 2013.
Topics of interest include but not limited to:
* Methods of supervised, semi-supervised and unsupervised learning
* Distributed data mining and ubiquitous knowledge discovery
* Data Stream Mining
* Temporal, Spatial & Spatiotemporal Data Mining
* Multiobjective learning
* Rule-based learning
* Network and graph mining
* Text Mining
* Web Mining
* Mining for recommendation engines
* Visual Analytics
* Data Mining in bioinformatics
* Data Mining for business applications
* Data mining in resource constrained environments
Submission:
We solicit
* Full papers (6-8 pages)
* Short papers (4 pages): Position papers or Work in Progress
* Demonstration papers (2 pages): Presentation of a system or a
prototype
Submissions are welcome in English and German. They have to follow the
conference format and should be submitted as PDF files to EasyChair
(https://www.easychair.org/conferences/?conf=lwa2013).
Please select the track Knowledge Discovery, Data Mining and Machine
Learning@LWA2013.
All submissions will be reviewed by at least two independent reviewers.
Important Dates
* Submissions July 15, 2013
* Notification August 12, 2013
* Camera Ready Contributions September 2, 2013
* Workshop October 7-9, 2013
Workshop Chairs:
* Martin Atzmueller, University of Kassel
* Ute Schmid, University of Bamberg
* Thomas Seidl, RWTH Aachen University
See you in Bamberg!
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PD Dr. Martin Atzmueller Tel.: +49-(0)561-804-6298
atzmueller@cs.uni-kassel.de www.kde.cs.uni-kassel.de/atzmueller/
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+++ New Book +++ Modeling and Mining Ubiquitous Social Media
http://www.springer.com/computer/ai/book/978-3-642-33683-6
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SDCF - Open Source Sensor Data Collection Framework (for Android)
http://sdcf.eu
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UBICON - A smart platform for supporting Ubiquitous Social Networking
http://ubicon.eu
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VIKAMINE - Open Source Subgroup Discovery, Pattern Mining and Analytics
http://vikamine.org
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