posted by organizer: elm || 4200 views || tracked by 18 users: [display]

LWA/KDML 2014 : Workshop on Knowledge Discovery, Data Mining and Machine Learning

FacebookTwitterLinkedInGoogle

Link: http://dme.rwth-aachen.de/lwa-2014/?page_id=8
 
When Sep 8, 2014 - Sep 10, 2014
Where Aachen, Germany
Submission Deadline Jul 13, 2014
Notification Due Aug 1, 2014
Final Version Due Aug 8, 2014
Categories    machine learning   data mining   knowledge discovery
 

Call For Papers

------------------------------------------------------------------------
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

Related Resources

ICDM 2021   21th Industrial Conference on Data Mining
PAKDD 2021   Pacific-Asia Conference on Knowledge Discovery and Data Mining
MLDM 2021   17th International Conference on Machine Learning and Data Mining
SI-DAMLE 2020   Special Issue on Data Analytics and Machine Learning in Education
DASFAA 2021   Database Systems for Advanced Applications
ML_BDA 2021   Special Issue on Machine Learning Technologies for Big Data Analytics
ICPRAM 2021   10th International Conference on Pattern Recognition Applications and Methods
ICKEA--Ei Compendex, Scopus 2021   2021 The 6th International Conference on Knowledge Engineering and Applications (ICKEA 2021)--Scopus, EI Compendex
ECML PKDD 2020   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases