Dear colleagues,

Please find enclosed the WEB page (which is under construction) for
theCaNew'2000 Workshop.

   Bayesian and Causal Networks: from inference to data mining
                    August 21 or 22, 2000, Berlin, Germany

A workshop held in conjunction with the

                            Fourteenth Biennial European Conference on
Artificial Intelligence (ECAI 2000),

                                                           August
20th-25th, 2000, Berlin, Germany

Wep page:  http://www.lsi.upc.es/~sanguesa/CaNew2000.html


The workshop will focus on several topics on the area of Bayesian and
Causal Networks. Special emphasis will be placed on the properties of
networks related to inference, conditional independence, semantics, and
equivalence condition for structures using alternative uncertainty
calculi. In a similar vein, important topics will be on innovation
learning methods, specially those integrating various forms of prior
knowledge or departing from the traditional algorithms, i.e.,
incremental methods or scalable algorithms (in the
sense of being able to cope with large number of variables o big volumes
of data). Applications are also welcome as well as methodological
papers. Participants are encouraged to submit descriptions of work in
progress on all areas.  Selected papers will be published in a renowned
journal after the workshop and following a second review phase.


Topics:

    Properties and expressiveness of Bayesian and causal networks
        Conditional Independency relationships in  networks
        New inference methods
        Relation to other formalisms for example:
            Causal theories
            Default Logics
        Expression in other formalisms uncertainty formalisms
            Possibilistic Networks

    Learning methods
        Identifying Causal Parameters
        Dependence-based methods
        Information-based methods
        Hybrid methods
        Learning in the presence of noise, hidden variables and
incomplete data
        Comparative studies

    Practical applications
        Scaling up to large volumes of data
        Data Mining applications
        Applications to industry and services
        Applications in web mining  and user modelling

New or improved techniques or methods, as well as innovative
applications are welcome. Presentations of the current state of ongoing
research projects or applications, and contributions emphasizing
integration of various technologies or paradigms are especially welcome.



Important Dates

      February 21, 2000 - Deadline for submission of papers
      April 28, 2000 - Notification of acceptance/rejection
      June 2, 2000 - Final revised camera-ready copies
      August 21 or 22, 2000 - Workshop


Workshop Committee

Co-chairs

      Ulises Cort=E9s, Artificial Intelligence section, Technical
University of Catalonia, Catalonia ([EMAIL PROTECTED])
      Ramon Sang=FCesa, Artificial Intelligence section, Technical
University of Catalonia, Catalonia ([EMAIL PROTECTED])

Committee

      Lu=EDs M. de Campos, Departamento de Ciencias de la Computaci=F3n e=
 I.
A., E.T.S. Ingenier=EDa Inform=E1tica, University of Granada, 18071 Grana=
da
(Spain) ([EMAIL PROTECTED])

      Hector Geffner, Sim=F3n Bol=EDvar University, Caracas, Venezuela.

      Serafin Moral. Departamento de Ciencias de la Computaci=F3n e I. A.=
,
E.T.S. Ingenier=EDa Inform=E1tica, University of Granada, 18071 Granada
(Spain) ([EMAIL PROTECTED])

      Juan F. Huete, Departamento de Ciencias de la Computaci=F3n e I. A.=
,
E.T.S. Ingenier=EDa Inform=E1tica, University of Granada,  18071 Granada
(Spain) ([EMAIL PROTECTED])

      Arno Siebes, Centrum voor Wiskunde en Informatica CWI, Office:
M349, Kruislaan 413 P.O. Box 94079, 1090 GB Amsterdam, The Netherlands
([EMAIL PROTECTED])

      Marco Ramoni, Knowledge Media Institute, The Open University,
Walton Hall, Milton Keynes , United Kindgdom MK7   6AA
([EMAIL PROTECTED]).

      Simon Parsons, Department of Electronic Engineering, Electronic
Engineering Department, Queen Mary & Westfield College Mile End Road,
London, 4NS ([EMAIL PROTECTED]).


Address for Submissions and Further Information

Proposals have to be submitted electronically (Word for Windows or Unix
compatible postscript) to both co-chairs Ramon Sang=FCesa and Ulises
Cort=E9s, at the following address:

Ulises Cort=E9s / Ramon Sang=FCesa
Artificial Intelligence section
Dept. of Software
Technical University of Catalonia
Campus Nord - Edifici C5
Jordi Girona 1-3
E-08034 Barcelona
Catalonia, Spain
Voice: + 34 93 401 70 16 / + 34 93 401 73 34
Fax: + 34 93 401 70 14
e-mail: [EMAIL PROTECTED], [EMAIL PROTECTED]

Further information on ECAI 2000 is available at the ECAI 2000 home
page.

The URL of this Workshop home page is
http://www.lsi.upc.es/~sanguesa/CaNew2000.html

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