Data Mining for Biomedical Informatics
Saturday, April 26, 2008
Hyatt Regency Hotel, Atlanta, Georgia
A half-day workshop, to be held in conjunction with the
8th SIAM International Conference on Data Mining (SDM 2008)
▪ Call for papers
▪ Submission Process and important dates
▪ Final Program (New)
▪ Program Committee
▪ Registration information
▪ More information
Recent advances in experimental technologies are generating vast amount of data from complex biological systems for both biological discoveries in science and clinical applications in practice. These new and exciting data include genomes of a variety of model organisms, genetic variations of individuals, gene expressions, high-throughput proteomic data, gene ontology and pathway databases, medical images, and electronic medical records (EMR). Deriving "big pictures from this sea of biomedical data," as described in the July 2005 issue of Science, is a major scientific challenge that will require the close collaboration of research scientists in many disciplines such as computer science, biology, mathematics and clinical research. This workshop will provide a venue to facilitate the exchange of ideas between these disciplines by bringing together researchers to discuss and present sources of data, research topics that may be addressed by such data, and data mining algorithms that may be used to analyze them.
This is the second workshop in the series of Data Mining for Biomedical Informatics workshops held in conjunction with SDM; here is a link to DMBIO 2007.
We encourage the submission of papers describing algorithmic techniques and their applications to mining large scale biomedical data. Particular emphasis will be placed (i) on approaches that use techniques from disciplines such as statistics, linear algebra, functional analysis, and signal processing, applied in some biomedical domain, and (ii) on papers exposing rich sources of publicly available biomedical data that are of interest to the SDM community.
More specifically, this workshop intends to:
● Present new sources of biomedical data that may not be broadly known to the data mining community.
● Present to the data mining community important problems and challenges in biomedical data analysis.
● Present algorithms that are currently used, or should be used by biologists to analyze their data. Particular emphasis will be placed on the importance of carefully interpreting and using the output of these algorithmic techniques in a biologically relevant manner.
The long term goal of this workshop is to foster more interaction between the SIAM Data Mining community and the numerous organizations that generate biomedical data, in order to promote joint research on topics that are relevant to both communities. We expect this workshop to attract a mixture of academics and data mining practitioners, whose focus is the analysis of biomedical data. Online proceedings will be created. Authors may retain copyright of their work for future publication in an appropriate algorithmic or biomedical forum. We particularly encourage the submission of brief survey articles, exposing the results of more than one papers that are relevant to the aforementioned goals of the workshop.
Submitted papers should have a
maximum length of 6 pages. Papers
must have an abstract of no more than 200 words. Authors are
encouraged to submit their papers electronically in PDF
format. To submit your paper, please email your .pdf file to :
drinep (AT) cs (DOT) rpi (DOT) edu and kuang (AT) cs (DOT) umn (DOT) edu
with the subject "DMBI08 Paper Submission from FirstAuthorLastName".
name your file as follows:
: January 11, 2008
▪ Notification of acceptance : January 20, 2008
▪ Camera ready : February 4, 2008
Paper preparation: Please use the latex style files provided here for your submission.
Here is a link to the workshop program: [pdf]
Laxmi Parida is our plenary speaker. Her talk in on Taming Patterns in Biological Data.
Department of Computer Science
Rensselaer Polytechnic Institute
Department of Computer Science
University of Minnesota
Inderjit Dhillon, Department of Computer Sciences, University of Texas at Austin
Christos Faloutsos, Department of Computer Science, Carnegie Mellon University
Asif Javed, Department of Computer Science, Rensselaer Polytechnic Institute
Francois Meyer, Department of Electrical Engineering, University of Colorado at Boulder
Chad Myers, Department of Computer Science and Engineering, University of Minnesota
Chunhua Weng, Department of Biomedical Informatics, Columbia University
For registration information go to http://www.siam.org/meetings/sdm08/reginfo.php. Please note that SIAM has arranged for a one-day registration for the SDM 2008 conference.
For more information regarding the workshop, please email the organizers or Christos Boutsidis at email@example.com .