[AISWorld] 10th International Workshop on Biological Knowledge Discovery from Big Data (BIOKDD'19)

[Hesti Sudjana]

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                            C  A  L  L    F O R    P A P E R S

       10th International Workshop on Biological Knowledge Discovery
from Big Data 
                                        (BIOKDD'19)

                                      26-29 August 2019
                                        Linz, Austria

                               Web: http://www.dexa.org/biokdd2019/
                                   E.mail: dexa2019 at iiwas.org
                Paper submission:
http://confdriver.ifs.tuwien.ac.at/dexa2019/



***** 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


***** PUBLICATIONS *****
All accepted papers will be published by Springer in "Communications in
Computer and Information Science - CCIS" Series


***** SCOPE *****
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 silicon
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 *****
BIOKDD’19 workshop includes 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


***** SUBMISSION GUIDELINES *****
- Submissions to BIOKDD 2019 must be original, unpublis- Papers must be written in English and are not exceeding 5 pages 
- For formatting guidelines, please refer to
http://www.dexa.org/formatting_guidelines
- Submissions are made electronically in PDF format using our conference
management system (http://www.dexa.org/paper_submission)
- At least one author of each accepted paper is required to register for
the DEXA'19 conference.

***** PC Chair *****

Mourad Elloumi, LaTICE, University of Tunis, Tunisia
(mourad.elloumi at gmail.com)

***** PC MEMBERS *****
http://www.dexa.org/biokdd2019/


***** CONTACT *****
For further information, please contact DEXA organization office
(hesti at iiwas.org)


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Hesti Sudjana 
Telecooperation Departement
Johannes Kepler University Linz
Science Park 3, Altenberger Straße 69, 
4040 Linz, Austria
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