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.
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Scientific Committee |
(Tentative commitee)
• 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 |
Brief Biography of the session Organizer |
Vaclav Snášel is Professor of Computer Science. He works as researcher and university teacher. He is Dean Faculty of Electrical Engineering and Computer Science. Vaclav Snášel's research and development experience includes over 30 years in the Industry and Academia. He works in a multi-disciplinary environment involving artificial intelligence, social network, conceptual lattice, information retrieval, semantic web, knowledge management, data compression, machine intelligence, neural network, web intelligence, nature and Bio-inspired computing, data mining, and applied to various real world problems. He has given more than 15 plenary lectures and conference tutorials in these areas. He has authored/co-authored several refereed journal/conference papers, books and book chapters. He has published more than 400 papers (191 papers are recorded at Web of Science, 256 papers are recorded at Scopus) and 1317 citations in Google Scholar Citations.
Vaclav Snášel has served as a PC member to many international conferences, and he has been general chair and organizer of the INCoS 2009, NWeSP 2009, AWIC 2009, NDT 2009 CASoN 2009.
Pavel Krömer has received the M.Sc. in computer science from the VSB - Technical University of Ostrava in 2006 and PhD in Applied Mathematics from the same institute in 2010. Pavel’s areas of interest include computational intelligence, information retrieval, World Wide Web, data mining, and parallel programming. He coauthored more than 100 papers published in conference proceedings and journals. He also presented award winning papers at international computer science conferences in 2007, 2008, and 2011. Before joining the academia full time, he worked for more than 5 years as an analyst and developer in a major European software house. Pavel has served in Program Committees of a number of conferences including IEEE CEC 2012, IEEE SMC 2012, SEAL 2012, WICT 2011, ISDA 2011, ISDA 2010, SEAL 2010, CICN 2010 and others.
Petr Gajdoš has received the Ph.D. in computer science from VSB- Technical University of Ostrava in 2006 and currently, he works in a position of Assistant Professor at the same institute. Petr’s areas of interest include information retrieval, data mining, parallel computing, GPU programming and computer graphics. Beside publication activity (about 50 papers published in conference proceedings and journals), he focused on software development in academic and business area |