CALL FOR PAPERS

8th International Workshop on
Biological Knowledge Discovery from Big Data (BIOKDD'17)

Held in parallel with

28th International Conference on Database and
Expert Systems Applications (DEXA’17)

www.dexa.org/biokdd2017

Lyon, France
August 28 - 31, 2017


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’17 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’17 Workshops with IEEE CSP. One of the authors of an accepted paper must register to DEXA’17 conference and present the paper at BIOKDD’17 workshop. For paper registration and electronic submission see http://confdriver.ifs.tuwien.ac.at/dexa2017/ starting from January 2017.

IMPORTANT DATES: Submission of abstracts: May 1, 2017
Submission of full papers: May 7, 2017
Notification of acceptance: May 17, 2017
Camera-ready copies due: June 07, 2017

PROGRAM COMMITTEE:
Mourad Elloumi, LaTICE, University of Tunis, Tunisia (PC Chair)
Emanuel Weitschek, Uninetuno University, Rome, Italy
Daisuke Kihara, Purdue University, West Lafayette, USA
Bhaskar DasGupta, University of Illinois at Chicago, Chicago, USA
Giuseppe Lancia, University of Udine, Italy
Dominique Lavenier, GenScale, IRISA-CNRS, Rennes, France
Robert Harrison, Georgia State University, Atlanta, Georgia, USA
Hasan Davulcu, Arizona State University, Arizona, USA
Vladimir Makarenkov, University of Québec, Montréal, Canada
Ronnie Alves, Instituto Tecnologico Vale D.S, Belém, Brasil
Paul Yoo, Bournemouth University, UK
Davide Verzzotto, Genome Institute of Singapore, Singapore
Matteo Comin, University of Padova, Padova, Italy
Adrien Goëffon, University of Angers, France
Tolga Can, Middle East Technical University, Ankara, Turkey
Maad Shatnawi, Higher colleges of Technology, Abu Dhabi, UAE
Evangelos Theodoridis, Intel Labs Europe, London, UK.
Manoj Kumar Shukla, Amity School of Engineering, Amity University, Noida, India
Abdelouahid Lyhyaoui, University Abdelmalek Essaadi, Tangier, Morocco
Gaurav Kumar, Virginia Commonwealth University, Richmond, USA
Giosuè Lo Bosco, University of Palermo, Italy
Yongchao Liu, Georgia Institute of Technology, Georgia, USA
Zina M. Ibrahim, King’s College, London, UK



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