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CFP: Analysis of high-dimensional discrete data (AH3D)

From: Dr. Eyas El-Qawasmeh <eyasa@usa.net>
Date: Thu, 13 Sep 2007 00:37:21 -0600
To: <eyasa@usa.net>
Message-ID: <886LimgKa4956S15.1189665441@cmsweb15.cms.usa.net>

[Apologies for multiple copies due to cross-posting]
=======================================================

Call for Papers

_______________________________________________________

1st International Workshop

Analysis of high-dimensional discrete data (AH3D)
Workshop in Conjunction with DASFAA 2008 
13th International Conference on Database Systems for Advanced Applications 
19-22nd March, 2008, New Delhi, India


http://www.cse.iitb.ac.in/~dasfaa08/workshop.htm


High-dimensional data typically takes the form of extracting correlations
between data items, 
discovering meaningful information in data, clustering data items, and finding
efficient 
representations for clustered data, classification, formal concept analysis,
and event association. 
A common problem encountered in disciplines such as statistical data analysis,
data analysis, 
signal processing, textual data representation, and neural network research,
is finding a suitable 
representation of the data in the lower dimension space. Since the volume (and
dimensionality) 
of data is typically large, the emphasis of new algorithms must be efficient
and scalable to large 
data sets. Analysis of continuous attribute data generally takes the form of
eigenvalue/singular 
value problems (PCA/rank reduction), clustering, least squares problems, etc. 
Analysis of 
discrete data sets, however, generally leads to hard problems, especially when
physically 
interpretable results in discrete spaces are desired.

We therefore invite submission from research communities working on different
theoretical and 
applicative aspects of data mining, especially those that are active in
cutting-edge frontier topics. These include, but are not limited to:

* binary factor analysis
* market basked analysis
* analysis of voting
* analysis of capital market
* economic analysis
* clustering of semantic features
* discovering pattern in the data
* feature selection for high-dimensional data
* formal concept analysis (FCA).


Important dates:
October 15, 2007 Submission of Full Papers 
November 12, 2007 Notification of Papers Acceptance 
December 10, 2007 All Camera-Ready Copies Due
March 19, 2008 Workshop

Workshop Format:

The full day workshop will consist of oral presentations, discussions, and
invited talks. The 
workshop will also provide opportunity for demo sessions, where presenters can
showcase 
advanced prototypes based on their research where applicable. 

Submission of Papers:

The full paper submission is limited to fifteen (15) pages in length LNCS
format. 
Papers must be submitted in PDF format. Simultaneous submission to another
conference/workshop/journal is not allowed. Papers must be original and have
not been published or under consideration for publications elsewhere. Papers
will be reviewed by at least 3 program committee members for their technical
merit, originality, significance, and relevance to the workshop. For paper
registration and electronic submission please see 

http://arg.vsb.cz/ah3d/2008/index.html


Workshop Proceedings:

The workshop proceedings are to be published as part of Springer Verlag's
Lecture Notes in 
Computer Science series. After the workshop, selected papers may have an
opportunity to be 
invited to submit an extended version of the paper to an International
Journal. 


Program Committee:

Chair - Vaclav Snasel, VSB-Technical University of Ostrava, Czech Republic
Co-chair - Dusan Husek, Institute of Computer Science, Academy of Science,
Czech Republic 
Jaromir Antoch, Charles University, Prague, Czech Republic 
Anna Bartkowiak, University of Wroclaw, Poland 
Michael W. Berry, University of Tennessee, USA 
Slavka Bodjanova, Texas A&M University - Kingsville, Texas, USA 
Alfredo Cuzzocrea, University of Calabria, Italy 
Eyas El-Qawasmeh, Jordan University of Science and Technology, Jordan 
Alexander A. Frolov, Institute of Higher Nervous Activity and Neurophysiology,
Russian 
Academy of Science, Moscow, Russia 
Roland Kaschek, Messey University, New Zealand 
Pavel Moravec, VSB-Technical University of Ostrava, Czech Republic 
Pit Pichappan, Annamalai University, India 
Jaroslav Pokorny, Charles University, Czech Republic 
Hana Rezankova, University of Economics, Prague, Czech Republic 
Bernardete Ribeiro, University of Coimbra - CISUC , Porto, Portugal 
Khalid Saeed, Bialystok Technical University, Poland 
Gilbert Saporta, CNAM, Paris, France 
Athena Vakali, Aristotle University, Greece 
Katarzyna Wegrzyn-Wolska, ESIGETEL, Avon-Fontainebleau, France
Received on Thursday, 13 September 2007 06:42:50 UTC

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