IDA99 Call for Papers

Michael Berthold (
Fri, 18 Dec 1998 18:18:51 +0100 (MET)

Dear BISCer,

I would like to bring the following Call for Papers to your
attention. IDA-99 is going to be a cross-disciplinary event,
bringing together researchers from Statistics and Computer
Science. Since modern tools to analyze large data sets almost
scream for techniques from the Soft Computing realm, I thought
this being an appropriate posting for the BISC mailing list. I
hope to see many of you in Amsterdam next year!

Michael Berthold

Michael R. Berthold phone: +1 (510) 642-9827
Computer Science Division, 329 Soda Hall fax: +1 (510) 643-7684
University of California, Berkeley home: +1 (510) 649-9698
Berkeley, CA 94720, USA. Email:
-------------- WWW: HTTP.CS.Berkeley.EDU/~berthold/ ----------------

Call for Papers

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.

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 (
and Intelligent Data Analysis 95.

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


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


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


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

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
( 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

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

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

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.

The proceedings will be published in the Lecture Notes in Computer Science
series of Springer ( The proceedings of
Intelligent Data Analysis 97 appeared in this series as LNCS 1280

The symposium will use the facilities of the Center for Mathematics and
Computer Science in Amsterdam (CWI -- 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:
On the campus there are several other research institutes and parts of the
University of Amsterdam (

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 (, public
transport information, timetables of trains (, 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 (, panoramic pictures
are also available (

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

IDA-99 Organisation
General Chair: David Hand, 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

Niall Adams, 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


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

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