[CPM-SPIRE-L] Call for Papers - International Workshop on Biological Knowledge Discovery from Big Data (BIOKDD'18)

[Davide VERZOTTO]

CALL FOR PAPERS

  9th International Workshop on
  Biological Knowledge Discovery from Big Data (BIOKDD'18)
  featuring IEEE conference proceedings

Held in parallel with

29th International Conference on Database and
Expert Systems Applications (DEXA'18)

www.dexa.org/biokdd2018

Regensburg, Germany
September 3 - 6, 2018


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'18 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.



PAPER SUBMISSION DETAILS:
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'18 Workshops with 
IEEE CSP. One of the authors of an accepted paper must register to 
DEXA'18 conference and present the paper at BIOKDD'18 workshop.  For 
paper registration and electronic submission see 
http://confdriver.ifs.tuwien.ac.at/dexa2018/ starting from January 2018.



******************************************
IMPORTANT DATES:
  Submission of abstracts: March 11, 2018
  Submission of full papers: March 18, 2018
  Notification of acceptance: May 18, 2018
  Camera-ready copies due: June 08, 2018
******************************************



PROGRAM COMMITTEE:
Mourad Elloumi, LaTICE, University of Tunis, Tunisia (PC Chair)
Irena Rusu, University of Nantes, France
Davide Verzotto, University of Pisa, Italy
Nadia Pisanti, University of Pisa, Italy
Dominique Lavenier, GenScale, IRISA-CNRS, Rennes, France
Emanuel Weitschek, Uninetuno University, Rome, Italy
Daisuke Kihara, Purdue University, West Lafayette, USA
Bhaskar DasGupta, University of Illinois at Chicago, Chicago, USA
Tomas Flouri, University College London, UK
Vladimir Makarenkov, University of Quebec, Montreal, Canada
Ronnie Alves, Instituto Tecnologico Vale D.S., Belem, Brasil
Matteo Comin, University of Padova, Italy
Abdelouahid Lyhyaoui, University Abdelmalek Essaadi, Tangier, Morocco
Adrien Goeffon, University of Angers, France
Beatrice Duval, University of Angers, France
Tolga Can, Middle East Technical University, Ankara, Turkey
Maad Shatnawi, Higher colleges of Technology, Abu Dhabi, UAE
Mirto Musci, University of Pavia, Italy
Malik Yousef, Zefat Academic College, Zefat, Israel
Evangelos Theodoridis, Dynamo, London, UK
Giosue Lo Bosco, University of Palermo, Italy
Tomas Flouri, University College London, UK
Solon Pissis, King's College, London, UK



***