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When Aug 26, 2019 - Aug 29, 2019
Where Linz, Austria
Abstract Registration Due Mar 11, 2019
Submission Deadline Mar 18, 2019
Notification Due May 18, 2019
Final Version Due Jun 8, 2019
Categories    data preprocessing   data mining   data postprocessing

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)

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 pdf in LNCS format ( 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 starting from January 2019.

The proceedings of 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
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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