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CALL FOR PAPERS: Journal of Parallel and Distributed Computing, Special Issue on PARALLEL TECHNIQUES FOR INFORMATION EXTRACTION

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S. Rajasekaran
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CALL FOR PAPERS


Journal of Parallel and Distributed Computing

Special Issue on



PARALLEL TECHNIQUES FOR INFORMATION EXTRACTION

            

         We live in an era where every application of interest in 
science and engineering has to deal with a large amount of data. For 
instance, genomic data in biology is quite extensive. In homeland 
security, voluminous data of different kinds arise. Many of these 
applications demand real-time or near real-time performance.

         This special issue is aimed at bringing together both 
theoreticians and practitioners who work on information extraction 
techniques for large amounts of data. Given the volume of data to be 
operated on, parallelism becomes inevitable. Parallelism paves the 
way for near real-time performance. This special issue deals with 
varied types of data such as market, biological, text, image, etc.



The special issue will contain both invited and submitted papers. 
Topics of interest for this special issue include but are not 
limited to:



Data Reduction Techniques; Clustering Techniques; Approximation Algorithms;

Data Mining Techniques; Text Mining Tools; Locally Linear Embedding, 
SVD, Fast Map, etc.;  Data Structures; Implementation Experience; 
Parallel out-of-core models



Please submit an electronic copy of your manuscript by August 15, 
2006. The manuscripts can be submitted to 
http://www.ees.elsevier.com/jpdc. You must log into the system and 
register yourself as an author. This will give you privileges to use 
the site and upload your manuscripts. The alternative is to send the 
papers directly to Oscar Sosa at jpdc@elsevier.com. In either case, 
the following have to be supplied: a cover letter, an abstract, the 
manuscript, figures and/or tables. Manuscripts need to be in Word or 
PDF.  Figures/Tables have to be in TIF or EPS. Any specific 
questions potential authors may have about what files and formats 
can be used can refer to the Guide For Authors link on the website 
homepage.



Special issue editor:

Sanguthevar Rajasekaran

Dept. of CSE, Univ. of Connecticut

Storrs, CT 06269-2155

rajasek@engr.uconn.edu

  ************************************************************

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