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MLDGN 2012 : Special Session on Mining and Learning from Dynamic Graphical Networks as part of IPMU-2012

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Link: http://fuzzy.cs.ovgu.de/mldgn2012/
 
When Jul 9, 2012 - Jul 13, 2012
Where Catania, Italy
Submission Deadline Jan 15, 2012
Notification Due Feb 25, 2012
Final Version Due Mar 31, 2012
 

Call For Papers

[please distribute - apologies for multiple postings]
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M L D G N - 2 0 1 2
C A L L F O R P A P E R S

Special Session on
Mining and Learning from Dynamic Graphical Networks
http://fuzzy.cs.ovgu.de/mldgn2012/

as part of the 14th International Conference on
Information Processing and Management of Uncertainty
in Knowledge-Based Systems (IPMU) 2012
http://www.ipmu2012.unict.it/

Catania, Italy, July 9 - 13, 2012
Submission Deadline: January 15, 2012

There is a great necessity and interest in analyzing dynamic
graphs like the World Wide Web, social networks, or
biological networks. Typically analysis methods from
classical data mining and network theory have been studied
separately in different fields of research. The main goal of
this session is to boost interdisciplinary research by
combining techniques of different fields.
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TOPICS AND SCOPE OF THE SESSION
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The session topics include (but are not limited to):
- dynamic graphs measures
- mining algorithms for very large databases of graphs
- graph stream mining
- analysis methods for temporal networks
- dynamic community discovery in online or offline networks
- analysis of dynamics and evolution of graphical patterns
- visual representation of dynamic networks
- applications of dynamic graph analysis in the World Wide
Web, social networks, biological networks and others
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PAPER SUBMISSION
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All session papers must be submitted to the IPMU-2012
conference. IPMU-2012 solicits original research
contributions of theoretical and methodological nature as
well as application-oriented work. IPMU-2012 will not accept
any paper which, at the time of submission, is under review
or has already been accepted for publication in a journal or
another conference. Authors are also expected not to submit
their papers elsewhere during the review period.
Contributions will be selected based upon their quality as
evaluated by 2 - 3 referees.

The paper must be written in English and formatted according
to the Springer-Verlag Lecture Notes guidelines. Author
instructions and style files can be downloaded at
http://www.springer.de/comp/lncs/authors.html.

The length of papers is at most 10 pages in this format.
Please note that the submission format is PDF only. Papers
must be submitted electronically via EasyChair:
https://www.easychair.org/account/signin.cgi?conf=ipmu2012
Existing EasyChair accounts can be used.

When submitting a paper for the special session MLDGN 2012,
there will be a possibility to indicate whether the paper
fits the topic of this special session (called "groups" in
EasyChair). This is simply done by ticking the corresponding
box for MLDGN 2012. Please note that you can tick any number
of boxes (including 0).
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IMPORTANT DATES
============================================================
Paper Submissions: January 15, 2011
Acceptance Notification: February 25, 2012
Camera Ready Papers: March 31, 2012
Conference Dates: July 9 - 13, 2012
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SPECIAL SESSION ORGANIZER
============================================================
Christian Moewes
University of Magdeburg
Faculty of Computer Science
Universitaetsplatz 2
39106 Magdeburg
GERMANY
phone: +49 (0)391 67-11358
fax: +49 (0)391 67-12018
e-mail: cmoewes@ovgu.de

If you have any questions about paper submission or the
special session MLDGN 2012, please contact the special
session organizer at the above address.

If you have any questions about the IMPU-2012 conference
paper submission, please contact conference program chair:
Salvatore Greco, University of Catania, Italy, voice:
+39 (0)95 753-7733, e-mail: salgreco@unict.it or consult
the conference website at http://www.ipmu2012.unict.it/.
===========================================================
http://fuzzy.cs.ovgu.de/mldgn2012/
===========================================================

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