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AIBDM 2009 : Workshop on Advances and Issues in Biomedical Data Mining

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Link: http://www.it.usyd.edu.au/~aibdm09
 
When Apr 27, 2009 - Apr 27, 2009
Where Bangkok, Thailand
Submission Deadline Dec 22, 2008
Notification Due Jan 23, 2009
Final Version Due Feb 9, 2009
Categories    data mining
 

Call For Papers

Call for papers:

Workshop on Advances and Issues in Biomedical Data Mining
(AIBDM'09) in conjunction with Pacific-Asia Knowledge Discovery
and Data Mining (PAKDD09) 27 April 2009 * Bangkok * Thailand
(http://www.it.usyd.edu.au/~aibdm09)

CALL FOR PAPERS

Motivation Recent advances in measurement techniques and
computer hardware have enabled the collection of huge amount of
biomedical data. From patient records to digitized image
archives to DNA microarrays, the complexities of these data
made analyses difficult and time-consuming. A common
characteristic among biomedical datasets are their
high-dimensionality and small sample sizes. For example, a DNA
microarray dataset might only have a hundred samples, but each
sample can have 50,000 or more attributes. The so-called 'curse
of dimensionality' problem poses a great challenge to the data
mining community because most existing algorithms only work
well on data in large quantity, with a reasonable number of
attributes or dimensions. At the same time, the mining of
associations among attribute sets only works if they co-occur.
Existing association rule mining algorithms are unable to
detect the interactions among sets of attributes that lead to
some desired effects.


Aims The aims of this workshop are to explore difficulties and
current attempts to resolve these two outstanding problems in
mining biomedical data. Special attention will be devoted to
dimensionality reduction and discovery of interacting items.

Recent years have witnessed considerable advances in both
dimensionality reduction (DR) and interaction mining (IM)
algorithms. In particular, the advantages of nonlinear DR
methods over classical linear approaches in emerging domains
like biomedical data have been demonstrated. Similarly, IM
approaches in validating protein-protein interactions have been
reported.

This workshop, held in conjunction with The 13th Pacific-Asia
Conference on Knowledge Discovery and Data Mining, will
contribute to the conference by assembling active researchers
in biomedical data mining to share their experiences on
addressing aspects of the above problems, and to propose and
prepare useful reference datasets for algorithmic comparison.


Topics Potential participants of this workshop are encouraged
to submit technical papers on (but not limited to) the
following topics: - Dimensionality reduction - Sampling and
feature selection - Interaction Mining - Interestingness
measurement in biomedical data mining - Data mining with small
biomedical dataset - Knowledge discovery in Biomedical data -
Semantics in Biomedicine Health Data Integration - Biomedical
Data Privacy and Security - Health geomatics - Biomedical
informatics - Biomedical Imaging Techniques - Adaptive
Biomedical Data Mining - New Machine Learning Techniques for
Biomedical Data


Submission Authors are strongly encouraged to use Springer's
manuscript submission guidelines (available at
http://www.springer.de/comp/lncs/authors.html).


Papers should be no longer than 10 pages inclusive of all
references and figures. All papers must be submitted
electronically in PDF format only. Please ensure that any
special fonts used are included in the submitted documents. The
workshop papers will be published as LNAI Post Proceedings. The
submitted papers must not be published or under consideration
to be published elsewhere. Each paper will undergo a
double-blind review process by the Program Committee.

Negotiation is undergoing with journal publishers so that
outstanding papers will be invited for the submission to a
Special Issues in Biomedical Data Mining. Please pay attention
to our website for further development on this matter.

- Submission Deadline: 22Dec08 (Mon)
- Author Notification: 23Jan09 (Fri)
- Camera-Ready: 9Feb09 (Mon)
- Workshop Date: 27Apr09 (Mon)

Please visit our website for submission details
(http://www.it.usyd.edu.au/~aibdm09)


Organizing Committee Junbin Gao, Charles Sturt University,
Australia, jbgao@csu.edu.au Paul Kwan, University of New
England, Australia, kwan@mcs.une.edu.au Josiah Poon, University
of Sydney, Australia, josiah@it.usyd.edu.au Simon Poon,
University of Sydney, Australia, spoon@it.usyd.edu.au


Program Committee Peter Christen, Australian National
University, Australia Dao-qing Dai, Sun Yat-Sen(Zhongshan)
University, PRC Kin Li Fung, University of Victoria, Canada
Steve Gunn, University of Southampton, UK David Hansen, CSIRO,
Australia Ong Kok Leong, Deakin University, Australia Wenyuan
Li, University of Southern California, USA Christine O'Keefe,
CSIRO, Australia Daming Shi, Nanyang Technological University,
Singapore Chunhua Weng, Columbia University, USA Jun Zhang,
Huazhong University of Science and Technology, PRC


Contact Email: aibdm09@it.usyd.edu.au

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