2nd International Workshop on
Biological Knowledge Discovery and Data Mining (BIOKDD'10)
to be held in parallel with
21st International Conference on Database and Expert Systems Applications
(DEXA9210)
www.dexa.org
Bilbao, Spain
August 30-September 3, 2010
With the development of Molecular Biology during the last decades, we are
witnessing an exponential growth of both the volume and the complexity of
biological data. For example, the Human Genome Project provided the sequence
of the 3 billion DNA bases that constitute the human genome. And, consequen
tly, we are provided too with the sequences of about 100,000 proteins.
Therefore, we are entering the post-genomic era: after having focused so many
efforts on the accumulation of data, we have now to focus as much effort, and
even more, on the analysis of these data. Analyzing this huge volume of data
is a challenging task because, not only, of its complexity and its multiple
and numerous correlated factors, but also, because of the continuous
evolution of our understanding of the biological mechanisms. Classical
approaches of biological data analysis are no longer efficient and produce
only a very limited amount of information, compared to the numerous and
complex biological mechanisms under study. From here comes the necessity
to use computer tools and develop new in silico high performance approaches
to support us in the analysis of biological data and, hence, to help us in
our understanding of the correlations that exist between, on one hand,
structures and functional patterns of biological sequences and, on the other
hand, genetic and biochemical mechanisms. Knowledge Discovery and Data Mining
(KDD) are a response to these new trends.
TOPICS of BIOKDD'10 workshop include, but not limited to:
Data Preprocessing: Data Storage, Representation and Management,
Data Cleaning, Feature Extraction, Feature Selection.
Data Mining: Biological Data Clustering/Biclustering, Biological Data
Classification, Biological Data Regression, Association Rule Learning
from Biological Data, Parallel/Cloud/Grid Computing for Biological
Data Mining, Text Mining and Application to Biological Sequences, Web
Mining and Application to Biological Data, Analysis of Biological Networks.
Data Postprocessing:. Knowledge Filtering, Knowledge Representation and
Visualization, Knowledge Combination and Integration, Error Rates and
Numerical Indicators.
PAPER SUBMISSION DETAILS: Authors are invited to submit electronically
original contributions in English. Submitted papers should not exceed 5 pages
in IEEE format <www.ieee.org/web/publications/authors/transjnl/index.html>.
All accepted papers will be published in the proceedings of DEXA9210 Workshops
with IEEE CSP. One of the authors of an accepted paper must register to DEXA9210
conference and present the paper at BIOKDD9210 workshop. For paper registration
and electronic submission see <http://confdriver.ifs.tuwien.ac.at/dexa2010/>,
starting from January 2010.
IMPORTANT DATES: Submission of Full Papers: March 30, 2010
Notification of Acceptance: April 20, 2010
Camera-ready Copies: May 17, 2010
***
Dr. M. Sohel Rahman
Assistant Professor
Department of CSE, BUET
Dhaka-1000, Bangladesh
&
Visiting Research Fellow
Department of Computer Science
King's College London
London WC2R 2 LS
UK
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