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Secondo annuncio: Workshop on Symbolic Data Analysis



Cari Colleghi,
vi invio il secondo annuncio del Workshop su "Symbolic Data Analysis" che si
terra' nel prossimo mese di luglio a Cracovia.
La pagina WEB del Workshop e' disponibile al seguente indirizzo:

                                www.cin.ufpe.br

sul sito del "Centro de Informatica de l'Universidade Federal de
Pernambuco" -
essendo stata curata da Francisco de Carvalho,
membro del comitato organizzatore.

Per ulteriori informazioni potete scrivermi al mio indirizzo di posta
elettronica:
rosanna.verde@unina2.it

Cordiali saluti
Rosanna Verde


*********       C A L L   F O R    P A P E R S         *********

WORKSHOP

S Y M B O L I C    D A T A    A N A L Y S I S

CRACOW (Poland) -  Monday, 15th  July 2002


SCIENTIFIC PROGRAM COMMITTEE
- International Members -

H. Bacelar-Nicolau (Portugal), V. Batagelj (Slovenia), L. Billard (USA),
H-H. Bock (Germany),  C. Bravo (Spain), P. Brito (Portugal), F.A.T. De
Carvalho (Brazil), E. Diday (France), M. Chavent (France), F. Esposito
(Italy), M. Gettler-Summa (France), K.S. Gowda (India), A.Hardy (Belgium),
M. Ichino (Japan), S. Laaksonen (FI), C. Lauro (Italy), Y. Lechevallier
(France), D. Malerba (Italy), C. Marcelo (Portugal), M.Noirhomme (Belgium),
F. Palumbo (Italy), H. Papageorgiou (Greece), J.P. Rasson (Belgium), O.
Rodriguez (Costa-Rica), R. Verde (Italy),  S. Winsberg (USA).


ORGANIZING COMMITTEE

Rosanna Verde - Second University of Naples, Italy - (chair)
Paula Brito - University of Porto, Portugal
Francisco de A.T. de Carvalho - Federal University of Pernambuco, Brazil
Andrzej Sokolowski - University of Cracow, Poland - (local organizer)

TOPIC

Symbolic Data Analysis (SDA) is a new domain in the knowledge discovery and
management area, related to multivariate analysis, pattern recognition, data
bases, artificial intelligence. As input the aim of SDA is to allow a more
realistic description of the units by taking care of their internal
variation and their complex structure. As output the aim of SDA is to
provide a better explanation of  the results by an automatic interpretation
closer to the user natural language. SDA  provides, suitable tools to work
with complex, aggregated, relational and higher-level data described by
multi-valued variables where the entries of a data table are sets of
categories or of numbers, intervals or probability distributions, related by
rules and taxonomies.
The methodological issues under development generalise the classical
exploratory data analysis techniques, like: visualisation, factorial
techniques, decision tree, discrimination, regression, neuronal methods,
multidimensional scaling, classification and clustering methods, conceptual
lattices.

The aim of this workshop is to present new theoretical results and
applications in this framework.

Researchers interested in SDA are invited to submit an abstract (max 2
pages - following the guidelines that can be found at the IFCS2002 web site:
http://ifcs2002.ae.krakow.pl ) by e-mail to rosanna.verde@unina2.it in PDF
format (please send it as .ZIP file).

Deadlines and Time schedule
- March 1st, 2002 - Deadline submission abstract
- March 31th, 2002 - Notification of the acceptance of the abstract

WorkshopSDA.pdf