Geodesic
Simulation model of data analysis in intelligent information systems
News of the Kabardin-Balkar scientific center of RAS, no. 1 (2012), pp. 25-31.

Voir la notice de l'article provenant de la source Math-Net.Ru

Elements of the individual learner competencies and characteristics descriptions creation in the form of entities and relationships between them is a difficult task, as incorrectly formed entities and relationships can have a negative impact on the modeling results. Facilities of Petri nets are preferably used for intelligent information systems object-oriented modeling. This tool is designed for modeling systems consisting of many interacting components. The proposed Petri net can be used to analyze combinations of existing competencies and the student's characteristics in determining the learning trajectory.
Keywords: decision making, intelligent information systems, modeling, individual characteristics, learning trajectory. 
@article{IZKAB_2012_1_a3,
     author = {Yu. A. Kravchenko},
     title = {Simulation model of data analysis in intelligent information systems},
     journal = {News of the Kabardin-Balkar scientific center of RAS},
     pages = {25--31},
     publisher = {mathdoc},
     number = {1},
     year = {2012},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/IZKAB_2012_1_a3/}
}
TY  - JOUR
AU  - Yu. A. Kravchenko
TI  - Simulation model of data analysis in intelligent information systems
JO  - News of the Kabardin-Balkar scientific center of RAS
PY  - 2012
SP  - 25
EP  - 31
IS  - 1
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/IZKAB_2012_1_a3/
LA  - ru
ID  - IZKAB_2012_1_a3
ER  - 
%0 Journal Article
%A Yu. A. Kravchenko
%T Simulation model of data analysis in intelligent information systems
%J News of the Kabardin-Balkar scientific center of RAS
%D 2012
%P 25-31
%N 1
%I mathdoc
%U http://geodesic.mathdoc.fr/item/IZKAB_2012_1_a3/
%G ru
%F IZKAB_2012_1_a3
Yu. A. Kravchenko. Simulation model of data analysis in intelligent information systems. News of the Kabardin-Balkar scientific center of RAS, no. 1 (2012), pp. 25-31. http://geodesic.mathdoc.fr/item/IZKAB_2012_1_a3/

[1] Yu. A. Kravchenko, “Metod sozdaniya matematicheskikh modelei prinyatiya reshenii v mnogoagentnykh podsistemakh”, Izvestiya YuFU. Tekhnicheskie nauki. Tematicheskii vypusk , 2011, no. 7 (120), 141–145, Izd-vo TTI YuFU, Taganrog

[2] I. P. Norenkov, P. K. Kuzmik, Informatsionnaya podderzhka naukoemkikh izdelii. CALS-tekhnologii, Izd-vo MGTU im. N.E. Baumana, M., 2002

[3] V. M. Trembach, “Intellektualnaya informatsionnaya sistema formirovaniya kompetentsii dlya realizatsii modeli nepreryvnogo obrazovaniya”, Nauchno-prakticheskii zhurnal. Otkrytoe obrazovanie, 2010, no. 4, 79–91, CAPITALPRESS, M.

[4] V. V. Bova, “Modelirovanie oblasti znanii v sistemakh podderzhki prinyatiya reshenii dlya nepreryvnogo professionalnogo obucheniya”, Izvestiya YuFU. Tekhnicheskie nauki. Tematicheskii vypusk , 2009, no. 4 (93), 242–249, Izd-vo TTI YuFU, Taganrog

[5] V. M. Kureichik, D. S. Knysh, “Problemy, obzor i parallelnye geneticheskie algoritmy: sostoyanie”, Izvestiya RAN. Teoriya i sistemy upravleniya, 2010, no. 4, 72–82, M. | MR

[6] V. V. Kureichik, V. M. Kureichik, S. I. Rodzin, “Kontseptsiya evolyutsionnykh vychislenii, inspirirovannykh prirodnymi sistemami”, Izvestiya YuFU. Tekhnicheskie nauki. Tematicheskii vypusk , 2009, no. 4 (93), 16–25, Izd-vo TTI YuFU, Taganrog