-------- Forwarded Message -------- Subject: [AISWorld] The 10th International Workshop on Biological Knowledge Discovery from Big Data (BIOKDD'19) Date: Fri, 01 Mar 2019 11:47:12 +0100 From: Hesti Sudjana hesti.sudjana@jku.at To: aisworld@lists.aisnet.org

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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@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 orig- 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@gmail.com)

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

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

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

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