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WADTMB 2012 : 1st Workshop on Algorithms for Data and Text Mining in Bioinformatics | |||||||||||||||
Link: http://delab.csd.auth.gr/aiai2012/workshops_algorithms_data_text_mining_bioinformatics.html | |||||||||||||||
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Call For Papers | |||||||||||||||
CALL FOR PAPERS :
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) ---------------------------------------------------------------------------------------- Co located with 8th Artificial Intelligence Applications and Innovations Conference 27-30 September 2012, Halkidiki, Greece (http://delab.csd.auth.gr/aiai2012) 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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