Advances in Intelligent Web Mastering - 2: Proceedings of by Jan Dědek, Alan Eckhardt, Peter Vojtáš (auth.), Vaclav

By Jan Dědek, Alan Eckhardt, Peter Vojtáš (auth.), Vaclav Snášel, Piotr S. Szczepaniak, Ajith Abraham, Janusz Kacprzyk (eds.)

Welcome to the sixth Atlantic net Intelligence convention (AWIC 2009), to be held in the course of September Sept. 11, 2009 in Prague, Czech Republic. The convention should be held on the college of arithmetic and Physics of the Charles college, Prague. This construction has a handy situation within the old urban heart, within the zone known as Lesser city as regards to neighborhood sights like Charles Bridge and Prague Castle.

The Atlantic internet Intelligence meetings compile scientists, engineers, desktop clients, and scholars to replace and proportion their reports, new principles, and study effects approximately all facets (theory, purposes and instruments) of clever equipment utilized to net dependent platforms, and to debate the sensible demanding situations encountered and the options followed. past AWIC occasions have been held in Spain - 2003, Mexico - 2004, Poland - 2005, Israel - 2006 and France - 2007.

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Com/javaee/ (cited December 7, 2007) 20. 0. page=1 21. : Enterprise Ajax, 1st edn. Prentice Hall, Englewood Cliffs (2008) 22. htm (cited April 17, 2008) 2 Next Generation SOA: Can SOA Survive Cloud Computing? 29 23. : Itinerary Planner: A Mashup Case Study. , Ripeanu, M. ) ICSOC 2007. LNCS, vol. 4907, pp. 3–14. Springer, Heidelberg (2009) 24. com/ (cited December 10, 2007) 25. org/ (cited March 20, 2009) 26. : IT Doesn’t Matter. Harvard Business Review 81(5) (2003) 27. : Implementing IT and SOA into the Jetstar Business.

Those disciplines have as a central objective the study of human behavior and have reach to present day a mature state of the mathematical description of how humans performs decision on different context. Models like the LCA stochastic process and the Random Utility Model have a long history of experimental validations (about 40 years) [10, 17, 21, 19, 13]. We assume that those well proven theory on human behavior can be applied and adapted to describe the web user behavior, producing a much more structured and specific machine learning model.

Psychological Review (83), 59–108 (1978) 18. : The anatomy of a large-scale hypertextual web search engine. In: Computer Networks and ISDN Systems, pp. 107–117 (1998) 19. : Neural basis of deciding, choosing and acting. National Review of Neuroscience 2(1), 33–42 (2001) 20. : Web usage mining: Discovery and applications of usage patterns from web data. SIGKDD Explorations 2(1), 12–23 (2000) 21. : Models for choice reaction time. Psychometrika (25), 251–260 (1960) 22. : A new paradigm for ranking pages on the world wide web, www 2003.

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