Mathematical modeling of Website quality characteristics in dynamics

• Autorzy: Pasichnyk N. , Dyvak M. , Pasichnyk R.
• Języki publikacji: EN

Abstrakty

EN

The article offers a set of dynamic models of prognosing the Website attendance. The numerical experiments were conducted to identify these models. It allowed to structure an adequate model to prognoze overall and target attendance, basing on the analysis of the business processes’ characteristics of an object, that this Website represents.

Słowa kluczowe

EN

website attendance; website traffic; discrete dynamic models; structure identification; prognosis properties

PL

odwiedziny strony internetowej; ruch na stronie internetowej; dyskretne modele dynamiczne; identyfikacja strukturalna; właściwości prognozy

• Wydawca: Wydawnictwo Politechniki Łódzkiej
• Czasopismo: Journal of Applied Computer Science
• Rocznik: 2014
• Tom: Vol. 22, nr 1
• Strony: 171--182
• Opis fizyczny: Bibliogr. 11 poz.

Twórcy

autor

Pasichnyk N.

• Ternopil National Economic University, Department of Computer Science, Unosti str. 9, Ternopil, Ukraine, 46018

autor

Dyvak M.

• Ternopil National Economic University, Department of Computer Science, Unosti str. 9, Ternopil, Ukraine, 46018

autor

Pasichnyk R.

• Ternopil National Economic University, Department of Computer Science, Unosti str. 9, Ternopil, Ukraine, 46018

Bibliografia

• [1] Pasichnyk, N. R. and Dyvak, M. P., 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, 2012, pp. 184–189, (in Ukrainian).
• [2] Pasichnyk, N., Spilchuk, V., Shevchuk, R., and Spivak, I., Formalized analysis of the Web-site structure, Proceedings of the International Conference on Modern Problems of Radio Engineering Telecommunications and Computer Science (TCSET), 21-24 Feb. 2012. - Lviv-Slavsko, 2012., 2012, pp. 391.
• [3] Pasichnyk, N., Method forming an ontological content, based on analyse of information at specialized Web-sites, Wisnyk HNU: Inzenerija, Vol. 5, 2012, pp. 241–244, (in Ukrainian).
• [4] Pasichnyk, N., Melnyk, A., and N., D., Management the Website Attendance Based on the Projected Tra ffi c, Proceedings of the international conference “The Experience of Designing and Application of CAD Systems in Microelectronics (CADSM)”, 19-23 Feb. 2013. – Polyana-Svalyava (Zakarpattya)., 2013, pp. 277.
• [5] Meyers, P. J., 25-point Website Usability Checklist, http://www.usereffect.com/topic/25-point-website-usability-checklist.
• [6] Wostrow, A., Why do thematic-oriented sites are gainful, http://www.seoded.ru/webmaster/sozdanie-saita/tematicheskie-sajty.html, (in Russian).
• [7] Frank, S., 4 Elements of a Successful, Profitable Website, http://entrepreneurs.about.com/cs/marketing/a/uc072403.htm.
• [8] Michael, T., Niche Sites Make Money, http://www.nichefinding.com/niche-sites-make-money.
• [9] Gorbunov, A., Markov models for website traffic, IMAT, 2007, pp. 65–73.
• [10] Khalil, F., Combining. Web Data Mining Techniques for Web Page Access Prediction, http://eprints.usq.edu.au/4341/, 2008, pp. 197.
• [11] Madala, H. and Ivakhnenko, A., Inductive Learning Algorithms for Complex System Modelling, CRC Press, Boca Raton, FL, USA, 1994.