CALL FOR PAPERS

7th International Workshop on

Biological Knowledge Discovery and Data Mining (BIOKDD'16)

Held in parallel with

27th International Conference on Database and
Expert Systems Applications (DEXA’16)

www.dexa.org/biokdd2016

Porto, Portugal
September 5 - 8, 2016


With the development of Molecular Biology during the last decades, we are witnessing an exponential growth of both the volume and the complexity of biological data. For example, the Human Genome Project provided the sequence of the 3 billion DNA bases that constitute the human genome. And, consequently, we are provided too with the sequences of about 100,000 proteins. Therefore, we are entering the post-genomic era: after having focused so many efforts on the accumulation of data, we have now to focus as much effort, and even more, on the analysis of these data. Analyzing this huge volume of data is a challenging task because, not only, 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 use computer tools and develop new in silico high performance approaches to support us in the analysis of biological data and, hence, to help us in our understanding of the correlations that exist between, on one hand, structures and functional patterns of biological sequences and, on the other hand, genetic and biochemical mechanisms. Knowledge Discovery and Data Mining (KDD) are a response to these new trends.
Topics of BIOKDD workshop include, but not limited to:
Data Preprocessing: Biological Data Storage, Representation and Management (data warehouses, databases, sequences, trees, graphs, biological networks and pathways, …), Biological 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 Data Regression (regression of biological sequences…), Biological data clustering/biclustering (microarray data biclustering, clustering/biclustering of biological sequences, …), Biological Data Classification (classification of biological sequences…), Association Rules Learning from Biological Data, Text mining and Application to Biological Sequences, Web mining and Application to Biological Data, Parallel, Cloud and Grid Computing for Biological 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’16 Workshops with IEEE CSP. One of the authors of an accepted paper must register to DEXA’16 conference and present the paper at BIOKDD’16 workshop. For paper registration and electronic submission see http://confdriver.ifs.tuwien.ac.at/dexa2016/ starting from January 2016.
The winner paper of the Best Paper Award in BIOKDD-DEXA’16 workshop will be published for free by BioData Mining Journal (www.biodatamining.org).


IMPORTANT DATES: Submission of abstracts: March 12, 2016
Submission of full papers: March 19, 2016
Notification of acceptance: May 18, 2016
Camera-ready copies due: June 08, 2016

PROGRAM COMMITTEE:
Mourad Elloumi, LaTICE, University of Tunis, Tunisia (PC Chair)
Emanuel Weitschek, Uninetuno University, Rome, Italy
Haider Banka, Indian School of Mines, Dhanbad, India
Ronnie Alves, LIRMM, Montpellier, France
Tolga Can, Middle East Technical University, Ankara, Turkey
Virginio Cantoni, University of Pavia, Pavia, Italy
Stefano Ceri, Politecnico di Milano, Italy
Matteo Comin, University of Padova, Padova, Italy
Bhaskar DasGupta, University of Illinois at Chicago, Chicago, USA
Giovanni Felici, IASI, National Research Council of Italy, Rome, Italy
Adrien Goëffon, University of Angers, France
Yann Guermeur, LORIA-CNRS, Vandoeuvre-lès-Nancy, France
Robert Harrison, Georgia State University, Atlanta, Georgia, USA
Daisuke Kihara, Purdue University, West Lafayette, USA
Gaurav Kumar, Virginia Commonwealth University, Richmond, USA
Giuseppe Lancia, University of Udine, Italy
Dominique Lavenier, GenScale, IRISA-CNRS, Rennes, France
Marco Masseroli, Politecnico di Milano, Italy
Abdelouahid Lyhyaoui, University Adbelmalek Essaadi, Tangier, Morocco
Hasan Ogul, Baskent University, Ankara, Turkey
Manoj Kumar Shukla, Amity School of Engineering, Amity University, Noida, India
Evangelos Theodoridis, Intel Labs Europe, London, UK.
Davide Verzzotto, Genome Institute of Singapore, Singapore

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www.biodatamining.org

Editors-in-Chief
Jesus Aguilar Ruiz (Spain)
Jason Moore (USA)