Intelliegent Data Analysis (IDA)

• Sender: owner-newjour@ccat.sas.upenn.edu

Ann Okerson wrote:
From: Ann Okerson <ann.okerson@yale.edu>
Subject: Intelliegent Data Analysis (IDA)
Date: Mon, 20 Oct 1997 18:43:09 -0400 (EDT)

Intelligent Data Analysis (IDA); an International Journal

http://www-east.elsevier.com/ida/
(Link inactive 27 May 2004)

http://www.iospress.nl/html/1088467X.html
(Link active 27 May 2004)

Aims and Scope

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 more theoretical
material.

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.

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-scale data collections 
* 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 

To receive further announcements or to subscribe to the journal
Intelligent Data Analysis, please fill out the www form. Your completed
form will be sent to usinfo-f@elsevier.com. 

Editor-in-Chief: A. Famili, editor@ida-ij.com