🚀 go-pugleaf

		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 addresses:

Editor-in-Chief: A. Famili 

Authors Information: A. Famili 
		     Institute for Information Technology
		     National Research Council of Canada
		     Ottawa, Ont. K1A 0R6
		     Canada
		     Phone: (613) 993-8554
	             Email: famili@ai.iit.nrc.ca

Editorial Office: Heather D. Joseph (h.dalterio@elsevier.com)
Subscription Information: USDirect@elsevier.com



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.



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.


Interested authors should contact:
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

A. Famili, Ph.D.			       
Editor-in-Chief, Intelligent Data Analysis http://www.elsevier.com/locate/ida   
Senior Research Scientist		   Phone: (613) 993-8554
Institute for Information Technology	   Fax  : (613) 952-7151
National Research Council of Canada,	   email: famili@ai.iit.nrc.ca	
Bldg. M-50, Montreal Rd. Ottawa, Ont. 	   http://ai.iit.nrc.ca/~fazel
K1A 0R6  Canada



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

	
 	Heather D. Joseph      h.dalterio@elsevier.com
-----------------------------