Mourad Elloumi
2012-12-06 14:01:40 UTC
*CALL FOR PAPERS*
*4th International Workshop on*
*Biological **Knowledge Discovery and Data Mining** **(BIOKDD'13)*
Held in parallel with
*24th International Conference on Database and *
*Expert Systems Applications **(**DEXAâ13**)*
www.dexa.org
Prague, Czech Republic August 26 - 30, 2013
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,
consequently, 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'13 workshop include, but not limited to:
*Data Preprocessing: *Biological Data* *Storage*, *Representation and
Management
(data warehouses, databases, sequences, trees, graphs, biological networks
and pathways, âŠ), Biological Data *Cleaning* (errors removal, redundant
data removal, completion of missing data, âŠ), *Feature* Extraction
(motifs, subgraphs,
âŠ), *Feature* Selection (filter approaches, wrapper approaches, hybrid
approaches, embedded approaches, âŠ)
*Data Mining: *Biological Data Regression (regression of biological
sequencesâŠ), Biological data clustering/biclustering (microarray
databiclustering, clustering/biclustering
of biological sequences, âŠ), Biological Data Classification (classification
of biological sequencesâŠ), Association Rules Learning from Biological
Data, Text
mining and Application to Biological Sequences, Web mining and Application
to Biological Data, Parallel, Cloud and Grid Computing for Biological Data
Mining
*Data Postprocessing:* Biological Nuggets of Knowledge Filtering,
Biological Nuggets of Knowledge Representation and Visualization,
Biological Nuggets of Knowledge Evaluation* *(calculation of the
classification error rate, evaluation of the association rules
*via*numerical indicators, e.g.
*measurements of interest*, ⊠), Biological Nuggets of Knowledge
Integration
*PAPER SUBMISSION DETAILS: *
Authors are invited to submit electronically original contributions in
English. Submitted papers should not exceed 5 pages in IEEE format
http://www.computer.org/portal/web/cscps/formatting. All accepted papers
will be published in the proceedings of DEXAâ13 Workshops with IEEE CSP*. *One
of the authors of an accepted paper must register to DEXAâ13 conference and
present the paper at BIOKDDâ13 workshop. For paper registration and
electronic submission see <*http://confdriver.ifs.tuwien.ac.at/dexa2013/*>,
starting from January 2013.
* *
*IMPORTANT DATES:* Submission of abstracts: April 3, 2013
Submission of full papers: April 10, 2013
Notification of acceptance: May 10, 2013
Camera-ready copies due: May 20, 2013
*PROGRAM COMMITTEE:*
Mourad Elloumi, LaTICE, University of Tunis, Tunisia (PC Chair)
Costas S. Iliopoulos, Kingâs College London, UK
Jason T. L. Wang, New Jersey Institute of Technology, USA
Albert Y. Zomaya, The University of Sydney, Australia
Colette Faucher, University of Aix-Marseille III, France
Mohammed S. Rahman, Kingâs College London, UK
Haider Banka, Indian School of Mines, Dhanbad, India.
Daisuke Kihara, Purdue University, West Lafayette, IN, USA
Alfredo Pulvirenti , University of Catania, Italy
José Luis Oliveira, University of Aveiro, Portugal
Carlo Cattani, University of Salerno, Italy
Shoba Ranganathan, University, Sydney, Australia
Radha Krishna Murthy Karuturi, The Jackson Laboratory, Bar Harbor, ME, USA
Solon P. Pissis, Heidelberg Institute for Theoretical Studies, Heidelberg,
Germany
Adelaide Freitas, University of Aveiro, Portugal
Fawzi Mhamdi, LaTICE, University of Tunis, Tunisia
Wassim Ayadi, LaTICE, University of Tunis, Tunisia
***
*4th International Workshop on*
*Biological **Knowledge Discovery and Data Mining** **(BIOKDD'13)*
Held in parallel with
*24th International Conference on Database and *
*Expert Systems Applications **(**DEXAâ13**)*
www.dexa.org
Prague, Czech Republic August 26 - 30, 2013
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,
consequently, 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'13 workshop include, but not limited to:
*Data Preprocessing: *Biological Data* *Storage*, *Representation and
Management
(data warehouses, databases, sequences, trees, graphs, biological networks
and pathways, âŠ), Biological Data *Cleaning* (errors removal, redundant
data removal, completion of missing data, âŠ), *Feature* Extraction
(motifs, subgraphs,
âŠ), *Feature* Selection (filter approaches, wrapper approaches, hybrid
approaches, embedded approaches, âŠ)
*Data Mining: *Biological Data Regression (regression of biological
sequencesâŠ), Biological data clustering/biclustering (microarray
databiclustering, clustering/biclustering
of biological sequences, âŠ), Biological Data Classification (classification
of biological sequencesâŠ), Association Rules Learning from Biological
Data, Text
mining and Application to Biological Sequences, Web mining and Application
to Biological Data, Parallel, Cloud and Grid Computing for Biological Data
Mining
*Data Postprocessing:* Biological Nuggets of Knowledge Filtering,
Biological Nuggets of Knowledge Representation and Visualization,
Biological Nuggets of Knowledge Evaluation* *(calculation of the
classification error rate, evaluation of the association rules
*via*numerical indicators, e.g.
*measurements of interest*, ⊠), Biological Nuggets of Knowledge
Integration
*PAPER SUBMISSION DETAILS: *
Authors are invited to submit electronically original contributions in
English. Submitted papers should not exceed 5 pages in IEEE format
http://www.computer.org/portal/web/cscps/formatting. All accepted papers
will be published in the proceedings of DEXAâ13 Workshops with IEEE CSP*. *One
of the authors of an accepted paper must register to DEXAâ13 conference and
present the paper at BIOKDDâ13 workshop. For paper registration and
electronic submission see <*http://confdriver.ifs.tuwien.ac.at/dexa2013/*>,
starting from January 2013.
* *
*IMPORTANT DATES:* Submission of abstracts: April 3, 2013
Submission of full papers: April 10, 2013
Notification of acceptance: May 10, 2013
Camera-ready copies due: May 20, 2013
*PROGRAM COMMITTEE:*
Mourad Elloumi, LaTICE, University of Tunis, Tunisia (PC Chair)
Costas S. Iliopoulos, Kingâs College London, UK
Jason T. L. Wang, New Jersey Institute of Technology, USA
Albert Y. Zomaya, The University of Sydney, Australia
Colette Faucher, University of Aix-Marseille III, France
Mohammed S. Rahman, Kingâs College London, UK
Haider Banka, Indian School of Mines, Dhanbad, India.
Daisuke Kihara, Purdue University, West Lafayette, IN, USA
Alfredo Pulvirenti , University of Catania, Italy
José Luis Oliveira, University of Aveiro, Portugal
Carlo Cattani, University of Salerno, Italy
Shoba Ranganathan, University, Sydney, Australia
Radha Krishna Murthy Karuturi, The Jackson Laboratory, Bar Harbor, ME, USA
Solon P. Pissis, Heidelberg Institute for Theoretical Studies, Heidelberg,
Germany
Adelaide Freitas, University of Aveiro, Portugal
Fawzi Mhamdi, LaTICE, University of Tunis, Tunisia
Wassim Ayadi, LaTICE, University of Tunis, Tunisia
***