[CPM-SPIRE-L] CfP - DEXA-BIOKDD 2019 - Biological Knowledge Discovery from Big Data - IEEE CS proceedings

[Davide Verzotto]

*** Apologies for multiple copies ***


*CALL FOR PAPERS*



*10th International Workshop on*

*Biological **Knowledge Discovery from Big Data **(BIOKDD'19)*



Held in parallel with



 *30th International Conference on Database and *

*Expert Systems Applications **(**DEXA’19**)*



www.dexa.org/biokdd2019



Linz, Austria

August 26 - 29, 2019





In recent years there has been a rapid development of biological
technologies producing more and more *biological data*, i.e. data related
to biological macromolecules (DNA, RNA, and proteins).  The rise of
*next-generation
sequencing* technologies (NGS), also known as *high-throughput sequencing*
 technologies, has contributed actively to the deluge of these data.  In
general, these data are big, heterogeneous, complex, and distributed all
over the world within databases.  Analyzing biological big data is a
challenging task, not only because 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 adopt
new computer tools and develop new *in silico* high performance approaches
to support us in the analysis of biological big data and, hence, to help us
in the understanding of the correlations that exist between, on the one
hand, structures and functional patterns in biological macromolecules and,
on the other hand, genetic and biochemical mechanisms.  *Biological **Knowledge
Discovery from Big Data* (BIOKDD) is a response to these new trends.

Topics of BIOKDD’19 workshop include, but not limited to:



*Data Preprocessing: *Biological Big Data Storage*, *Representation and
Management (e.g. data warehouses, databases, sequences, trees, graphs,
biological networks and pathways), Biological Big Data Cleaning (e.g.
errors removal, redundant data removal, completion of missing data), Feature
Extraction (e.g. motifs, subgraphs), Feature Selection (e.g. filter
approaches, wrapper approaches, hybrid approaches, embedded approaches).



*Data Mining: *Biological Big Data Regression (e.g. regression of
biological sequence), Biological Big Data Clustering/Biclustering
(e.g. microarray
data biclustering, clustering/biclustering of biological sequences),
Biological Big Data Classification (e.g. classification of biological
sequence), Association Rules Learning from Biological Big Data, Text mining
and Application to Biological Sequences, Web mining and Application to
Biological
Big Data, Parallel, Cloud and Grid Computing for Biological Big Data Mining.



*Data Postprocessing:* Biological Nuggets of Knowledge Filtering,
Biological Nuggets of Knowledge Representation and Visualization,
Biological Nuggets of Knowledge Evaluation (e.g. calculation of the
classification error rate, evaluation of the association
rules via numerical indicators or 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 CS-CPS
format *http://www.computer.org/portal/web/cscps/formatting
<http://www.computer.org/portal/web/cscps/formatting>*. All accepted papers
will be published in the proceedings of DEXA’19 Workshops with IEEE CS-CPS
*. *One of the authors of an accepted paper must register to DEXA’19 conference
and present the paper at BIOKDD’19 workshop. For paper registration and
electronic submission see http://confdriver.ifs.tuwien.ac.at/dexa2019/ starting
from January 2019.



*IMPORTANT DATES:* Submission of abstracts: March 11, 2019

 Submission of full papers: March 18, 2019

 Notification of acceptance: May 18, 2019

 Camera-ready copies due: June 08, 2019


*PROGRAM COMMITTEE:*

Mourad Elloumi, LaTICE, University of Tunis, Tunisia (PC Chair)

Davide Verzotto, University of Pisa, Italy

Haider Banka, India Institute of Technology, Dhanbad, India

Suresh Dara, B V Raju Institute of Technology, Hyderabad, India

Daisuke Kihara, Purdue University, West Lafayette, USA

Bhaskar DasGupta, University of Illinois at Chicago, Chicago, USA

Robert Harrison, Georgia State University, Atlanta, Georgia, USA

Jérémie Bourdon, University of Nantes, France

Abdelhalim Larhlimi, University of Nantes, France

Dominique Lavenier, GenScale, IRISA-CNRS, Rennes, France

Malik Yousef, Zefat Academic College, Zefat, Israel

Giuseppe Lancia, University of Udine, Italy

Farhana Zulkernine, School of Computing Queen’s University Kingston,
Ontario, Canada

Vladimir Makarenkov, University of Québec, Montréal, Canada

P. Ch. J. Srinivasa Rao, Koneru Lakshmaiah University, Vijayawada, India

Matteo Comin, University of Padova, Padova, Italy

Adrien Goëffon, University of Angers, France

Maad Shatnawi, Higher colleges of Technology, Abu Dhabi, UAE

Mirto Musci, University of Pavia, Pavia, Italy

Tomas Flouri, University College London, UK
Solon Pissis, Centrum Wiskunde & Informatica, Amsterdam, Netherlands

Jamal Al Qundus, Free University of Berlin, Berlin, Germany
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