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IBP@SoCPaR 2012 : Special Session on Intelligent Bio-signal Processing | |||||||||||||||
Link: http://www.mirlabs.net/socpar12/ss3.html | |||||||||||||||
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Call For Papers | |||||||||||||||
Special Session on Intelligent Bio-signal Processing at the International Conference of Soft Computing and Pattern Recognition (IBP@SoCPaR 2012)
December 10-13 2012, Brunei http://www.mirlabs.net/socpar12/ss3.html http://www.mirlabs.net/socpar12 Important dates: Paper submission due: August 31, 2012 Notification of paper acceptance: September 30, 2012 Final manuscript due: October 15, 2012 Registration and full payment due: October 15, 2012 Conference date: December 10-13, 2012 Processing large datasets generated by research and industry represents one of the most important challenges in data mining. The growing volumes of data represent an opportunity for the application of data processing and data mining methods. Although advanced data analysis is the main goal of data mining, even general processing of large volumes of high-dimensional data be extremely time consuming and in conclusion unusable for practical applications. Bio-inspired computation provides a set of powerful methods and techniques based on the principles of biological, natural systems. This class of methods and techniques containing evolutionary algorithms, ant colonies, neural networks, and swarm intelligence, and emerging technologies complements traditional techniques of data processing and data mining. It can be applied in places where the traditional methods and approaches have encountered difficulties. Bio-inspired methods have been successfully used for the analysis of various types of data ranging from stream data, huge structured and unstructured data sets, texts, hyper-texts, to different flavours of networks. The special session seeks contributions about foundations of bio-inspired data processing for as well as case studies, empirical, and other methodological works related to models, tools, and environments for bio-inspired data processing and data mining. It will provide an opportunity to disseminate latest results in this growing field. The main topics cover the design and use of various models, algorithms, tools, libraries, and environments for the design and implementation of bio-inspired approaches to data-intensive applications. Recommended topics include but are not limited to the following: Bio-inspired data processing algorithms, Bio-inspired knowledge discovery, pattern detection and pattern matching Bio-inspired algorithms and tools for classification and clustering Parallel bio-inspired algorithms for multicore (CPUs) Parallel bio-inspired algorithms for manycore (GPUs) Distributed bio-inspired data processing in industry and research Bio-inspired data processing for Clouds and Web Performance analysis and benchmarking of bio-inspired data processing Bio-inspired processing of unstructured data Bio-inspired processing of big data Bio-inspired methods in information retrieval Bio-inspired processing of streams of data Implementation issues of bio-inspired data processing Platforms and tools for bio-inspired data processing Applications of bio-inspired data processing Session Chairs Vaclav Snášel, Department of Computer Science, VSB - Technical University of Ostrava, vaclav.snasel@vsb.cz Pavel Krömer, Department of Computer Science, VSB - Technical University of Ostrava, pavel.kromer@vsb.cz Petr Gajdoš, Department of Computer Science, VSB - Technical University of Ostrava, petr.gajdos@vsb.cz Contacts: Petr Gajdoš, petr.gajdos@vsb.cz Eliška Ochodková, eliska.ochodkova@vsb.cz Program committee (tentative) Vaclav Snasel, VSB-Technical University of Ostrava, Czech Republic Milos Kudelka, VSB-Technical University of Ostrava, Czech Republic Pavel Kromer, VSB-Technical University of Ostrava, Czech Republic Jan Platos, VSB-Technical University of Ostrava, Czech Republic Pavel Moravec, VSB-Technical University of Ostrava, Czech Republic Petr Gajdos, VSB-Technical University of Ostrava, Czech Republic Eliska Ochodkova, VSB-Technical University of Ostrava, Czech Republic Dusan Husek, Institute of Computer Science, Academy of Science, Czech Republic Ivan Zelinka, VSB-Technical University of Ostrava, Czech Republic Alexander A. Frolov, Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Science, Moscow, Russia Jouni Lampinen, Laboratory of Information Processing Lappeenranta, Finland Petr Musilek, University of Alberta, Canada Suhail S. Owais, AL-Balaqa University, Jordan Eyas El-Quwashme, Jordan University of Science and Technology, Jordan Hideyasu Sasaki, University of Hong Kong, Hong Kong Juan D. Velasquez, University of Chile, Santiago, Chile Michal Wozniak, Wroclaw University of Technology, Poland Marek Penhaker, VSB-Technical University of Ostrava, Czech Republic Milos Besta, Google, New York Nashwa Mamdouh El-Bendary, Arab Academy for Science, Technology, and Maritime Transport, Egypt Dr. Muhanned Al Farras, College of Computer Engineering & Sciences, Gulf University, Bahrain Aboul Ella Hassanien, Cairo University, Egypt |
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