Special Sessions

Proposal for holding special sessions is invited from prospective authors, industrial bodies and academicians. They are expected to bring at least six (6) registered presenters addressed to conference secretary, in order to provide free fee

Hussam M. Dahwa Abdulla, Vaclav Snasel:  hussamdahwa@hotmail.com, vaclav.snasel@vsb.cz

Dept. of Computer Science, Faculty of Electrical Engineering and Computer Science
VSB - Technical University of Ostrava, Czech Republic

Web Mining

Web data management has become a critical emerging research area, due to the exponential increase in the information circulation and dissemination over the Web. Several research efforts have already appeared in the area of Web data mining and this field seems to be of interest for a wide academic and technical community. Data mining, also known as knowledge-discovery, is the practice of automatically searching large stores of data for meaningful patterns (knowledge). With the advances in the process of data collection, the 1990s has witnessed an explosion in the growth of data available online. This coupled with the stellar advances in computing technologies really spruced up "Data Mining". The web is the largest dynamic and online store known today. Web mining refers to the process of extracting knowledge from web pages by exploring their contents; the hyperlinks that connect these pages; or usage patterns of users; or Social Networks of users of these pages.

Mohammed Hamden:  mashamdan@yahoo.com

Department of Mechanical Engineering, Faculty of Engineering and Technology, University of Jordan

Energy and Alternative Fuels

The continuous growth of petroleum price, the gradual decrease in its reserves of conventional energy resources, and the environmental problems created by the combustion of this fuel, have placed great pressure on energy supplies.  Consequently researchers world wide are working hard for alternative energy sources such as biofuels, emulsified fuels and renewable energy sources.  Energy consumption in the transportation sector in the world represents 26% of the total energy consumption.  So far almost all of this quantity is consisting of crude oil derivatives.  Currently, biofuel and emulsified fuels are being used on very limited scale as an alternative fuel to power internal combustion engines in few countries, with biofuel being derived from agricultural product, which will increase the food shortage in the world. To solve crude oil depletion without affecting the food status in the world, biofuel has to be derived from other sources

Session 3

Kusum Deep kusumfma@iitr.ernet.in; kusumdeep@gmail.com

Department of Mathematics, Indian Institute of Technology

Nature Inspired Optimization Techniques and Applications

Nature Inspired Optimization (NIO) Techniques are attractive global optimization methods inspired by the various phenomena arising in nature. They include Genetic Algorithms, Memetic  Algorithms, Differential Evolutions, Particle Swarm Optimization, Glowworm Swarm Optimization, Bee Algorithms, Bacterial Foraging, Ant Colony Algorithms, etc. These are relatively a newer addition to the class of numerical optimization algorithms. These methods have been successfully applied to a wide range of real-world application problems. This special session seeks to bring forward and highlight the latest developments in this promising research area by bringing together researchers and practitioners. Authors are invited to submit their original and unpublished work to this Special Session