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AI-SGES  November 1998

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Subject:

Fw: Re: IDA-99 Call for Papers

From:

[log in to unmask] (Robert Milne)

Reply-To:

[log in to unmask]

Date:

Wed, 25 Nov 98 09:34 GMT0

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (317 lines)

From: [log in to unmask] (Xiaohui Liu)
Date: Tue, 24 Nov 1998 19:38:25 GMT
Reply-To: [log in to unmask]


Dear Colleagues,

Enclosed is the Call for Papers for IDA-99. I hope to see you in Amsterdam
next year!

Regards,
    Michael Berthold 

PS: If you want to unsubscribe from the IDA-mailing list, please send
    mail to: [log in to unmask] with a single line in the
    message body: unsubscribe

--------------------------------------------------------------------------
--

                            Call for Papers

                                 IDA-99
      The Third International Symposium on Intelligent Data Analysis
  Center for Mathematics and Computer Science, Amsterdam, The Netherlands
                           9th-11th August 1999

Call for papers
===============
  IDA-99 will take  place in Amsterdam from 9th to 11th August 1999,  and 
is 
organised by  Leiden University  in cooperation  with AAAI, CEPIS, and 
NVKI.
It will consist of a stimulating single-track  program and  invited talks 
by
leading international experts in various areas of intelligent data 
analysis:
  - Jacqueline Meulman (Leiden University, NL): Optimal Scaling
  - Zdzislaw Pawlak (Warsaw Institute of Technology, Poland): Rough Sets
  - Paul Cohen (University of Massachusetts, Amherst): Data Analysis and 
the
      Development of Robot Minds
A special  issue of  the Intelligent Data Analysis  journal is  scheduled 
to
feature extended versions of a number of selected papers from the 
symposium.

Objective
=========
  For many years the  intersection of computing and  data analysis 
contained
menu-based statistics  packages and not much else.  Recently,  
statisticians
have embraced computing,  computer scientists are using statistical 
theories
and methods, and researchers in all corners are inventing algorithms to 
find
structure in vast  online datasets.  Data analysts  now have access to 
tools
for exploratory data  analysis,  decision tree induction,  causal 
induction,
function  finding,  constructing  customised  reference  distributions,  
and
visualisation,  and there are intelligent assistants to advise on matters 
of
design and  analysis.  There are  tools  for  traditional,  relatively 
small
samples and also for enormous datasets.  In all,  the scope for probing 
data
in new and penetrating ways has never been so exciting.

  Our aim is for IDA-99 to bring  together  a wide  variety  of  
researchers
concerned  with  extracting  knowledge  from  data,  including  people  
from
statistics,  machine learning,  neural networks,  computer science,  
pattern
recognition, database management, and other areas. The strategies adopted 
by
people from these areas are  often different,  and a synergy results if 
this
is recognised.  IDA-99  is intended  to stimulate interaction  between 
these
different areas, so that more powerful tools emerge for extracting 
knowledge
from  data  and  a  better  understanding  is  developed  of the  process 
of
intelligent data analysis.

It is the third symposium on Intelligent Data Analysis after  the 
successful
symposia Intelligent Data Analysis 97 
(http://www.dcs.bbk.ac.uk/ida97.html/)
and Intelligent Data Analysis 95.

Topics
======
Contributed papers are invited  on any  relevant topic,  including,  but 
not
restricted to:

APPLICATION & TOOLS:

   analysis of different kinds of data (e.g., censored, temporal etc)
   applications (e.g., commerce, engineering, finance, legal, 
manufacturing,
     medicine, public policy, science)
   assistants, intelligent agents for data analysis
   evaluation of IDA systems
   human-computer interaction in IDA
   IDA systems and tools
   information extraction, information retrieval

THEORY & GENERAL PRINCIPLES:

   analysis of IDA algorithms
   classification, projection, regression, optimization, clustering
   data cleaning
   data pre-processing
   experiment design
   model specification, selection, estimation
   reasoning under uncertainty
   search
   statistical strategy
   uncertainty and noise in data

ALGORITHMS & TECHNIQUES:

   Bayesian inference and influence diagrams
   bootstrap and randomization
   causal modeling
   data mining
   decision analysis
   exploratory data analysis
   fuzzy, neural and evolutionary appraoches
   knowledge-based analysis
   machine learning
   statistical pattern recognition
   visualization

Submissions
===========
  Participants  who  wish  to  present  a paper  are requested  to submit 
 a
manuscript,  not exceeding  10 single-spaced  pages.  We strongly  
encourage
authors to format their manuscript using Springer-Verlag's Advice to 
Authors
(http://www.springer.de/comp/lncs/authors.html)   for   the  Preparation  
of
Contributions to  LNCS Proceedings.  This submission format  is identical 
to
the one for the final camera-ready copy of accepted papers.  In addition, 
we
request a separate page detailing the paper title, authors names, postal 
and
email addresses, phone and fax numbers. Email submissions in Postscript 
form
are encouraged.  Otherwise,  five hard copies  of the manuscripts  should 
be
submitted.

Submissions should be sent to the IDA-99 Program Chair.
either electronically to:

  [log in to unmask]

or by hard copy to:

  Prof. dr J.N. Kok
  Department of Computer Science
  Leiden University
  P.O. Box 9512
  2300 RA Leiden
  The Netherlands

  The address for courier services is

  Prof. dr J.N. Kok
  Department of Computer Science
  Leiden University
  Niels Bohrweg 1
  2333 CA Leiden
  The Netherlands

Important Dates
===============
February 1st, 1999              Deadline for submitting papers
April 15th, 1999                Notification of acceptance
May 15th, 1999                  Deadline for submission of final papers

Review
======
  All submissions will  be reviewed on the basis of relevance,  
originality, 
significance, soundness and clarity.  At least two referees will review 
each
submission independently and final decisions will be made by program 
chairs,
in consultation with relevant reviewers.

Publications
============
  The proceedings will be published in the Lecture Notes in Computer 
Science
series of Springer  (http://www.springer.de/comp/lncs/).  The proceedings 
of
Intelligent Data Analysis 97 appeared in this series as LNCS 1280
(http://www.springer.de/comp/lncs/volumes/1280.htm).

Location
========
  The symposium  will use  the facilities of the  Center for Mathematics 
and
Computer  Science  in  Amsterdam  (CWI -- http://www.cwi.nl/).  There  is 
an
auditorium  for more  than  200 participants  and  several  other rooms  
for
parallel  sessions.    CWI  is  situated  on  the  Wetenschappelijk  
Centrum
Watergraafsmeer (WCW) campus in the eastern part of Amsterdam.  
Instructions
about how to get to CWI can be found at:
  http://www.cwi.nl/cwi/about/directions.html
On the campus there are  several other research institutes  and parts of 
the
University of Amsterdam (http://www.uva.nl/english).

Social Event
============
  For the social event we are thinking  about a boat trip through the 
canals
of Amsterdam,  with a  special dinner  in the  centre of  the city.  We 
will
provide each  participant  with a  ``social package'',  including a  list 
of
restaurants, bars, maps of town (http://www.channels.nl/themap.html), 
public
transport information, timetables of trains (http://www.ns.nl/), etc.
  There are  special  boats  and  trams  that  circle  along  the  
touristic
attractions of Amsterdam and  hence it will be easy for the  participants 
to
find their way.  Further information can be found in the  The Internet 
Guide
to Amsterdam (http://www.cwi.nl/~steven/amsterdam.html),  panoramic 
pictures
are also available (http://www.cwi.nl/~behr/PanoramaUK/Panorama.html).

Exhibitions
===========
  IDA-99  welcomes demonstrations  of software  and publications  related 
to
intelligent data analysis.

IDA-99 Organisation
===================
General Chair:      David J Hand, The Open University, UK
Program Chair:      Joost Kok, Leiden University, The Netherlands
Program Co-Chairs:  Michael Berthold, University of California, Berkeley, 
US
                    Doug Fisher, Vanderbilt University, US

Members:
    Niall Adams, The Open University, UK
    Pieter Adriaans, Syllogic, The Netherlands
    Russell Almond, Research Statistics Group, US
    Thomas Baeck, Informatik Centrum Dortmund, Germany
    Riccardo Bellazzi, University of Pavia, Italy
    Paul Cohen, University of Massachusetts, US
    Paul Darius, Leuven University, Belgium
    Tom Dietterich, Oregon State University, US
    Gerard van den Eijkel, Delft University of Technology, The Netherlands
    Fazel Famili, National Research Council, Canada
    Karl Froeschl, Univ of Vienna, Austria 
    Linda van der Gaag, Utrecht University, The Netherlands
    Alex Gammerman, Royal Holloway London, UK
    Jaap van den Herik, University Maastricht, The Netherlands
    Rainer Holve, FORWISS Erlangen, Germany
    Larry Hunter, National Library of Medicine, US
    David Jensen, University of Massachusetts, US
    Bert Kappen, Nijmegen University, The Netherlands
    Hans Lenz, Free University of Berlin, Germany
    Frank Klawonn, University of Applied Sciences Emden, Germany
    Bing Liu, National University, Singapore
    Xiaohui Liu, Birkbeck College, UK
    David Madigan, University of Washington, US
    Heikki Mannila, Helsinki University, Finland
    Erkki Oja, Helsinki University of Technology, Finland
    Wayne Oldford, Waterloo, Canada 
    Albert Prat, Technical University of Catalunya, Spain
    Luc de Raedt, KU Leuven, Belgium
    Rosanna Schiavo, University of Venice, Italy
    Jude Shavlik, University of Wisconsin, US
    Roberta Siciliano, University of Naples, Italy
    Arno Siebes, Center for Mathematics and Computer Science, The 
Netherlands
    Rosaria Silipo, International Computer Science Institute, US
    Floor Verdenius, ATO-DLO, The Netherlands
    Stefan Wrobel, GMD, Germany 
    Jan Zytkow, University of North Carolina at Charlotte, US

Enquiries
=========

Latest information regarding IDA-99 will be available on the World Wide 
Web
Server of the Leiden Institute for Advanced Computer Science:

   http://www.wi.leidenuniv.nl/~ida99/





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