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