1. JCPEE
  2. All Volumes and Issues
  3. Volume 3, Number 2, 2013
  4. Mathematical modeling of dynamics of website quality characteristics

Mathematical modeling of dynamics of website quality characteristics

JCPEE.
2013;
Volume 3, Number 2
: pp. 91-96
Authors:
  1. Nataliia Pasichnyk
  2. Mykola Dyvak
  3. Roman Pasichnyk
1
Ternopil National Economic University
2
West Ukrainian National University
3
Ternopil National Economic University

The article offers a set of dynamic models of predicting the website attendance. The numerical experiments were conducted to identify these models. It allowed the authors to structure an adequate model to predict overall and target attendance, basing on the analysis of the characteristics of business processes of an object represented by this website.

Website attendance
website traffic
discrete dynamic models
Structure identification
prognosis properties
  1. N. Pasichnyk and M. Dyvak, “Method and algorithm for building structure of a web-site content, based on ontological approach,” Wisnyk Donetskogo NTU, seria “Informatyka, kibernetyka ta kompjuterni nauky”, vol. 15, pp. 184–189, 2012. (Ukrainian).
  2. N. Pasichnyk, V. Spilchuk, R. Shevchuk, and I. Spivak, “Formalized analysis of the web-site structure,” in Proc. International Conference on Modern Problems of Radio Engineering Telecommunications and Computer Science (TCSET), p. 391, Lviv-Slavskо, Ukraine, 2012.
  3. N. Pasichnyk, “Method forming an ontological content, based on analysis of information at specialized web-sites”. Wisnyk HNU: Inzenerija, vol. 5, pp. 241–244, 2012. (Ukrainian).
  4. N. Pasichnyk, A. Melnyk, and N. Dobrovolska, “Management the website attendance based on the projected traffic,” in Proc. International conference “The Experience of Designing and Application of CAD Systems in Microelectronics (CADSM)”, p. 277, Polyana-Svalyava, Ukraine, 2013. (Ukrainian)
  5. P. J. Meyers, “25-point Website Usability Check­list,” http://www.usereffect.com/topic/25-point-website-usability-checklist
  6. A. Wostrow, “Why do thematic-oriented sites are gainful,” http:// www. seoded. ru /webmaster /sozdanie - saita/ tematicheskie -sajty. html (Russian)
  7. S. Frank, “Elements of a successful, profitable website,” http:// entrepreneurs. about. com/ cs/ marketing / a / uc072403 .htm
  8. T.Michael, “Niche sites make money,” http:// www. nichefinding. com/ niche-sites-make-money
  9. A. Gorbunov, “Markov models for website traffic”. In IMAT-2007, p 65-73, Sverdlovsk, Russia: Ural University, 2007.
  10. F. Khalil, “Combining. web data mining techniques for web page access prediction,” http:/ eprints. usq. edu. au/ 4341/, p.197, Quinsland, 2008.
  11. H. Madala and A. Ivakhnenko, Inductive learning algorithms for complex system modelling. Boca Raton, FL, USA: CRC Press, 1994.