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)

▪ Scope

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.

Call For Papers

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.

Submission Process and important dates 

Submitted papers should have a maximum length of 6 pages. Papers must have an abstract of no more than 200 words. Authors are strongly 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".

Please name your file as follows:


Important dates:

Paper submissions               : 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.

Final Program

Here is a link to the workshop program: [pdf]

Laxmi Parida is our plenary speaker. Her talk in on Taming Patterns in Biological Data.


Petros Drineas
Department of Computer Science
Rensselaer Polytechnic Institute

Rui Kuang
Department of Computer Science
University of Minnesota

Michael W. Mahoney
Senior Research Scientist
Yahoo! Research

Program Committee

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

Registration Information

For registration information go to Please note that SIAM has arranged for a one-day registration for the SDM 2008 conference.

More Information

For more information regarding the workshop, please email the organizers or Christos Boutsidis at .