Intelligent Data Analysis - An International Journal (New)

Fazel Famili (fazel@ai.iit.nrc.ca)
Wed, 3 Apr 1996 14:25:31 +0200


C A L L F O R P A P E R S (New Journal)
==========================================

Intelligent Data Analysis - An International Journal

An electronic, Web-based journal
Published by Elsevier Science

URL: http://www.elsevier.com/locate/ida
http://www.elsevier.nl/locate/ida

Important e-mail addresses:

Editor-in-Chief: famili@ai.iit.nrc.ca
Editorial Office: h.dalterio@elsevier.com
Subscription Information: USDirect@elsevier.com

Introduction
------------

As science and engineering disciplines become more and more computerized,
the volume and complexity of the data produced on a day-to-day basis quickly
becomes overwhelming. Traditional data analysis approaches have proven
limited in their ability to generate useful information. In a wide variety
of disciplines (as diverse as financial management, engineering, medical/
pharmaceutical research and manufacturing) researchers are adapting
Artificial Intelligence techniques and using them to conduct intelligent
data analysis and knowledge discovery in large data sets.

Aims/Scope
----------

The journal of Intelligent Data Analysis will provide a forum for the
examination of issues related to the research and applications of
Artificial Intelligence techniques in data analysis across a variety of
disciplines. These techniques include (but are not limited to): all areas of
data visualization, data pre-processing (fusion, editing, transformation,
filtering, sampling), data engineering, database mining techniques, tools
and applications, use of domain knowledge in data analysis, machine
learning, neural nets, fuzzy logic, statistical pattern recognition,
knowledge filtering, and post-processing. In particular, we prefer papers
that discuss development of new AI architectures, methodologies, and
techniques and their applications to the field of data analysis. Papers
published in this journal will be geared heavily towards applications, with
an anticipated split of 70% of the papers published being applications-
oriented, and the remaining 30% containing a more theoretical material.

Editor-in-Chief:
~~~~~~~~~~~~~~~~

A. Famili
National Research Council of Canada,
Canada

Editorial Board:
~~~~~~~~~~~~~~~~

Timothy Bailey Francesco Bergadano
San Diego Supercomputer Center, University of Torino,
USA Italy

Pierre Boulanger Pavel Brazdil
National Research Council of University of Porto,
Canada, Canada Portugal

Carla E. Brodley Paul R. Cohen
Purdue University, University of Massachusetts,
USA USA

Luc De Raedt Doug Fisher
Catholic University of Leuven, Vaderbilt University,
Belgium USA

Matjaz Gams James Garrett, Jr.
Jozef Stefan Institute, Carnegie Mellon University,
Slovenia USA

Larry Hall Alois Heinz
University of South Florida, Universitaet Freiburg,
USA Germany

Achim G. Hoffmann Jane Hsu
University of New South Wales, National Taiwan University,
Australia Taiwan

Scott Huffman Xiaohui Liu
Price Waterhouse Technology Center, University of London,
USA UK

Ramon Lopez de Mantaras David Lubinsky
Artificial Intelligence Research University of The Witwatersrand,
Institute, Spain South Africa

Nicolaas J.I. Mars Stan Matwin
University of Twente, University of Ottawa,
The Netherlands Canada

Claire Nedellec Raymond Ng
Universite Paris-Sud, University of British Columbia,
France Canada

Alun Preece Lorenza Saitta
University of Aberdeen, University of Torino,
UK Italy

Alberto Maria Segre Wei-Min Shen
The University of Iowa, University of Southern California,
USA USA

Evangelos Simoudis Stephen Smith
IBM Research Almaden Research Carnegie Mellon University,
Center, USA USA

Tony Smith George Tecuci
University of Waikato, George Mason University,
New Zealand USA

Richard Weber Sholom Weiss
Management Intelligent Technologies Rutgers University,
GmbH, Germany USA

Bradley Whitehall Gerhard Widmer
United Technologies Research Center, Austrian Research Institute for
USA Artificial Intelligence, Austria

Janusz Wnek H.-J. Zimmermann
George Mason University, RWTH Aachen,
USA Germany

Information for Authors:
~~~~~~~~~~~~~~~~~~~~~~~~

1. General

The journal of Intelligent Data Analysis invites submission of research
and application papers within the aims and scope of the journal. In
particular, we prefer papers that discuss development of new AI architec-
tures, methodologies, and techniques and their applications to the field of
data analysis.

2. Manuscript

The manuscript should be in the following format. The first page of the
paper should contain the title (preferably less than 10 words), the name(s),
address(es), affiliation(s) and e-mail(s) of the author(s). The first page
should also contain an abstract of 200-300 words, followed by 3-5 keywords.

3. Submission

To speed up the production process, authors should submit the text of
original papers in PostScript (compressed file), to the Editor-in-Chief
(address below). Any graphical or tabular files should be sent in separate
files in Encapsulated PostScript or GIF format. The corresponding author
will receive an acknowledgement, by e-mail.

<<famili@ai.iit.nrc.ca>>

The standard format (Times Roman) is preferred. The Manuscript should not
exceed 35-40 pages of text (or the compressed/uuencoded PostScript file
should not be more than 1.0 Meg).

4. References

All references in the paper should be listed in alphabetical order under the
first author's name and numbered consecutively by arabic numbers. The
structure of the references should be in the following format:

(a) Example of journal papers:
R.A. Brooks, Intelligence without Representation, Artificial Intelligence,
47 (1) (1991), 139-159.

(b) Example of monographs:
A. Basilevsky, Applied Matrix Algebra in the Statistical Sciences, North-
Holland, Amsterdam, (1983).

(c) Example of edited volume papers:
J. Pan and J. Tenenbaum, An Intelligent Agent Framework for Enterprise
Integration, in: A. Famili, D. Nau and S. Kim, eds., Artificial Intelligence
Applications in Manufacturing, MIT Press, Cambridge, MA, (1992), 349-383.

(d) Example of conference proceedings papers:
R. Sutton, Planning by Incremental Dynamic Programming, in: Proceedings of
the 8th International Machine Learning Workshop, Evanston, IL, USA, Morgan
Kaufmann, (1991), 353-357.

(e) Example of unpublished papers:
C. H. Watkins, Learning from Delayed Rewards, Ph.D. Thesis, Cambridge Uni-
versity, Cambridge, England, (1989).

5. The Review Process

Each paper will be reviewed by at least two reviewers. The authors will
receive the results of the review process through e-mail. The authors of
conditionally accepted papers are expected to revise their papers within
2-3 months.

6. Proofreading

Authors will be responsible for proofreading. Final copies of papers will
be made available to the author and should be verified by the author within
three working days. No new material may be inserted in the text at the time
of proofreading.

7. Final Manuscript

When paper accepted, the publisher requires an electronic copy of the paper
in one of the following formats, along with the originals of figures and
tables.

Papers can be submitted in any one of the following formats:

- FrameMaker,
- WordPerfect,
- MicroSoft Word or
- Postscript.

Graphical files must be submitted separately, in either PostScript or GIF
formats. A paper copy original is also required for any graphical material.

Journal of Intelligent Data Analysis will be a fully electronic, refereed
quarterly journal. It will contain a number of innovative features not
available in comparable print publications. These features include:

- An alerting service notifying subscribers of new papers in the journal,
- Links to large data collections, including the U.C. Irvine Machine
Learning Repository Database,
- Links to secondary collection of data related to material presented in
the journal,
- The ability to test new search mechanisms on the collection of journal
articles,
- Links to related bibliographic material.

If you are interested in receiving further announcements or subscription
information about the upcoming journal, Intelligent Data Analysis, please
send e-mail to:

h.dalterio@elsevier.com

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