Tuesday, February 12, 2019



*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**)*


Linz, Austria

August 26 - 29, 2019

In the 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* (NGS) technologies, 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
in all over the world in 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 our understanding of the correlations that exist between, on 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
(data warehouses, databases, sequences, trees, graphs, biological networks
and pathways, …), Biological Big Data Cleaning (errors removal, redundant
data removal, completion of missing data, …), Feature Extraction
(motifs, subgraphs,
…), Feature Selection (filter approaches, wrapper approaches, hybrid
approaches, embedded approaches, …).

*Data Mining: *Biological Big Data Regression (regression of biological
sequences…), Biological Big Data Clustering/Biclustering (microarray data
biclustering, clustering/biclustering of biological sequences, …),
Biological Big Data Classification (classification of biological sequences…),
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 (calculation of the
classification error rate, evaluation of the association rules *via*
numerical indicators, e.g. *measurements of interest*, … ), Biological
Nuggets of Knowledge Integration


Authors are invited to submit electronically original contributions in
English. Submitted papers should not exceed 5 pages in IEEE CSP format
<http://www.computer.org/portal/web/cscps/formatting>*. All accepted papers
will be published in the proceedings of DEXA'19 Workshops with IEEE CSP*. *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.

The proceedings BIOKDD'19 workshop will be published by *Springer* in the
CCIS series.

*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


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

Davide Verzotto, University of Pisa, Italy

Emanuel Weitschek, Uninettuno University, Rome, 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

Emanuel Weitschek, Uninettuno University, Rome, Italy

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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