Special Session on Bio-inspired Data Processing at the Fourth World Congress on Nature and Biologically Inspired Computing (BDP@NaBIC2012)

November 05-09, 2012
Mexico City, Mexico,

http://www.mirlabs.net/nabic12/ss5.html
http://www.mirlabs.net/nabic12/

Important dates:
Paper submission due: *** Aug. 31, 2012 ***
Notification of paper acceptance: Sep. 15, 2012
Final manuscript due: Sep. 30, 2012
Registration and full payment due: Sep. 30, 2012
Conference date: Nov 05-09, 2012

Objectives and scope

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 Chair / Co-chair
● Vaclav Snášel, vaclav.snasel@vsb.cz
● Pavel Krömer, pavel.kromer@vsb.cz
● Petr Gajdoš, petr.gajdos@vsb.cz

Contact Information
Pavel Krömer, pavel.kromer@vsb.cz, Petr Gajdoš, petr.gajdos@vsb.cz,
Vaclav Snášel vaclav.snasel@vsb.cz


Scientific 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