1st Workshop on Algorithms for Data and Text Mining in Bioinformatics
(WADTMB 2012)
(http://delab.csd.auth.gr/aiai2012/workshops_algorithms_data_text_mining_bioinformatics.html)
in conjunction with the
8th Artificial Intelligence Applications and Innovations Conference
27-30 September 2012, Halkidiki, Greece
(http://delab.csd.auth.gr/aiai2012/)
SECOND CALL FOR PAPERS :
1st Workshop on Algorithms for Data and Text Mining in Bioinformatics
(WADTMB 2012)
---------------------------------------------------------------------------------------------------------------------------
Co located with 8th Artificial Intelligence Applications and
Innovations Conference 27-30 September 2012, Halkidiki, Greece
Important Dates:
Paper submission: April 29, 2012
Notification of acceptance/rejection: May 26, 2012
Camera-ready submission: June 4, 2012
Early registration: June 04, 2012
Workshop dates: To be announced
Program Chairs:
Prof. Athanasios Tsakalidis , University of Patras, Greece
Assist. Prof. Christos Makris, University of Patras, Greece
Workshop Aim:
The aim of this workshop is to bring together researchers that are
interested in designing, developing and applying efficient
data and text mining techniques for discovering the underlying
knowledge existing in biomedical data.
Bioinformatics is an emerging field of science that plays a crucial
role in managing, processing and computationally analyzing
biological and biomedical data such as sequences, gene expressions and
pathways. Biomedical researchers face the fundamental
issue of making efficient use of a tremendous amount of data that is
produced and deposited in public, in order to improve and
enhance their understanding of complex biomedical systems. As a result,
there is an urgent need for novel efficient computational
methods and tools to facilitate the process of managing and discovering
useful patterns and knowledge from these large biomedical
data repositories.
Data mining plays an essential role in Bioinformatics since it is the
process of automatic discovering of hidden meaningful and useful
patterns
and correlations in large amounts of data. Data mining approaches
provide tools for dealing with biomedical problems such as protein
structure
prediction, efficient clustering of gene expression data and efficient
gene classification. Also, of significant importance is biomedical text
mining, that is the process of automatically exploiting enormous amount
of knowledge available in biomedical
literature such as automatic extraction of protein-protein
interactions, named entity recognition, text classification and
terminology extraction.
Although considerable progress has been made recently in these areas,
many of the fundamental issues in bioinformatics such as the ability of
completely automatic extraction of useful information from structured
or unstructured data remain open challenging tasks.
The proposed workshop aims at giving the opportunity to researchers to
present their original work on issues pertaining to data and text mining
in
bioinformatics.
We encourage papers that present novel mining techniques and tools for
the following tasks:
Biomedical Database management
Gene expression analysis
Protein structure prediction
Prediction of protein-protein interaction
Text Mining in Biomedical Literature
Web Mining Bioinformatics applications
Submission:
All papers should be submitted by email to both Program Chair Christos
Makris makri@ceid.upatras.gr and to Organizing chair Marina Ioannou
ioannouz@ceid.upatras.gr. Papers should be submitted either in a doc or
in a pdf form and they should be peer reviewed by at least 2 academic
referees. Papers should not exceed 10 pages formatted according to the
LNCS Springer style.
Publication:
Accepted papers will be presented orally in the conference for 20
minutes and they will be published in the Proceedings of the main event.
They
will be also considered for potential selection for publication in the
Special Issues that will be edited.
More Details:
http://delab.csd.auth.gr/aiai2012/workshops_algorithms_data_text_mining_bioinformatics.html
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