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BIOKDD-DEXA 2019 : BIOKDD-DEXA'19: CFP | |||||||||||||||||
Link: http://www.dexa.org/biokdd2019 | |||||||||||||||||
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Call For Papers | |||||||||||||||||
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) www.dexa.org/biokdd2019 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 PAPER SUBMISSION DETAILS: Authors are invited to submit electronically original contributions in English. Submitted papers should not exceed 5 pages in pdf in LNCS format (http://www.springer.de/comp/lncs/authors.html). 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 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 PROGRAM COMMITTEE: 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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