Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование
In human science, we often face problem of estimating human behavior parameters. Behavior frequency is one of the most used behavior indicators. Knowing the behavior frequency, we can draw conclusions about significant aspects of behavior both in the present and in the future. It is often impossible to obtain data about behavior frequency directly. Therefore, there is a problem to estimate behavior frequency on limited data such as data about some last episodes of behavior. We propose two models based on Bayesian belief networks to estimate behavior frequency. We use last three behavior episodes, maximum and minimum intervals between the episodes as initial data and test the models on the data set collected from the social network Vk.com.
Язык оригинала | английский |
---|---|
Страницы (с-по) | 258-263 |
Журнал | CEUR Workshop Proceedings |
Том | 2782 |
Состояние | Опубликовано - 2020 |
Событие | Russian Advances in Fuzzy Systems and Soft Computing: Selected Contributions to the 8th International Conference on "Fuzzy Systems, Soft Soft Computing and Intelligent Technologies",FSSCIT 2020 - Smolensk, Российская Федерация Продолжительность: 29 июн 2020 → 1 июл 2020 |
ID: 78033434