W3C home > Mailing lists > Public > www-rdf-interest@w3.org > March 2009

SIGKDD 2009: Call for Demos

From: Osmar R. Zaiane <zaiane@cs.ualberta.ca>
Date: Tue, 3 Mar 2009 15:07:08 -0700
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Message-ID: <20090303220708.GA11921@cs.ualberta.ca>

[Apologies if you receive this more than once]

=================================================================

                       CALL FOR DEMOS

=================================================================

KDD-2009: The Fifteenth ACM SIGKDD International Conference
on Knowledge Discovery and Data Mining (KDD'09)

Paris, France
June 28 - July 1, 2009.

http://www.kdd.org/kdd2009/

=================================================================

The annual ACM SIGKDD International Conference on Knowledge Discovery 
and Data Mining is the leading forum for data mining researchers 
and practitioners to explore cutting-edge ideas and results, and 
to exchange techniques, tools, and experiences.

During the conference a demonstration session will be hosted during 
which researchers can showcase live demonstrations of their contributions. 

This demo session is meant to allow researchers and practitioners that
have implemented data mining software systems and libraries to describe 
the design, development and functionality of their work in an 
interactive setting. 
The demonstrations need not be limited only to paper presented at 
KDD but also include other relavant systems demonstrations.

The committee encourages submission of new technology and early 
prototypes but will also consider mature systems with experimental 
features. 

Note that the marketing of products must instead be arranged as part 
of the exhibit program. 

To participate please email a short proposal to the KDD 2009 
Demonstrations Chair, 

Osmar Zaiane (zaiane at cs DOT ulaberta.ca by April 17th, 2009. 

Your proposal must describe how the demonstrated system illustrates 
contributions to the field. 
It must also include technical specification, references to other 
literature, and optionally include a URL to screenshots or an online 
version. 
Proposals must be no more than four pages long and be in PDF or 
Word format.


The selection criteria for the demonstration proposals evaluation 
include: the novelty, the technical advances and challenges, and the 
overall practical attractiveness of the demonstrated system.


=================================================================

-- 
          &                 Scientific Director,
        (o o)               Alberta Ingenuity Centre for Machine Learning
____oOO__(_)__OOo__________________________________________________________
Osmar R. ZAIANE, Ph.D.              | office: ATH 352 (Athabasca Hall)
McCalla Professor    (Assoc. Prof)  | e-mail:  zaiane@cs.ualberta.ca
Department of Computing Science     | phone : 1-780 492 2860 
University of Alberta               | fax   : 1-780 492 1071 
Edmonton, Alberta, T6G 2E8 Canada   | http://www.cs.ualberta.ca/~zaiane/ 
_oooO___________Oooo_______________________________________________________
(    )         (    )
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  \_)           (_/
Received on Tuesday, 3 March 2009 22:09:07 GMT

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