Data Mining for Biomedical Informatics
Saturday, April 28, 2007
Radisson University Hotel, Minneapolis, MN
A full-day workshop, to be held in conjunction with the
7th SIAM International Conference on Data Mining (SDM 2007)
▪ Call for papers
▪ Submission Process and important dates (passed)
▪ Final Program [pdf]
▪ Program Committee
▪ More information
Biology is rich in data, and is getting richer all the time. Recent advances in DNA sequencing, microarray data generation, high-throughput, gene-function studies, medical imaging, and electronic medical records (EMR) have resulted in the automatic generation of new, vast, and exciting databases. 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 computer scientists, biologists, and mathematicians. This workshop will provide a venue to facilitate the exchange of ideas between the three 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.
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 mahoney (AT) yahoo-inc (DOT) com
with the subject "DMBI07 Paper Submission from FirstAuthorLastName".
name your file as follows:
new Important dates:
Paper submissions :
Friday, February 2, 2007
▪ Notification : Monday, February 12, 2007
▪ Camera ready : Monday, February 19, 2007
new Authors of accepted papers: click here to download style files in order to prepare the final version of your paper.
Department of Computer Science
Rensselaer Polytechnic Institute
Department of Computer Science
University of Minnesota
Dimitris Achlioptas, Department of Computer Science, UC Santa Cruz
Christos Faloutsos, Department of Computer Science, Carnegie Mellon University
Ananth Grama, Department of Computer Science, Purdue University
Boulos Harb, Computer and Information Science Department, University of Pennsylvania
Kenneth Kidd, Department of Genetics, Yale University School of Medicine
Francois Meyer, Center for the Study of Brain, Mind and Behavior, Program in Applied and Computational Mathematics, Princeton University
Yi Pan, Department of Computer Science, Georgia State University
Peristera Paschou, Department of Molecular Biology and Genetics, Democritus University of Thrace
Mohammed Zaki, Department of Computer Science, Rensselaer Polytechnic Institute
For more information regarding the workshop, please email the organizers or Christos Boutsidis at email@example.com .