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Jesús, Medina
Пахомова, Кристина
Eloísa, Ramírez-Poussa
2019-07-01T07:29:00Z
2019-07-01T07:29:00Z
2018-02
Jesús, Medina. Interpreting and analyzing a location-based social network by fuzzy formal contexts [Текст] / Medina Jesús, Кристина Пахомова, Ramírez-Poussa Eloísa // IEEE Symposium Series on Computational Intelligence (SSCI) 2017. — 2018.
https://ieeexplore.ieee.org/document/8285282/
https://elib.sfu-kras.ru/handle/2311/111270
Текст статьи не публикуется в открытом доступе в соответствии с политикой журнала.
Formal Concept Analysis (FCA) is a mathematical tool for data analysis. In this work, we present a study on the application of FCA to databases obtained from location-base social networks. From FCA we can identify the schedule and the interest places, such as the working hours and days, eating hours, etc. As a consequence, using the user's timetable, we can recommend him/her the most probable interesting places in every moment.
location-based social network
data analysis
FCA
Formal Concept Analysis
fuzzy formal contexts
Interpreting and analyzing a location-based social network by fuzzy formal contexts
Journal Article
Journal Article Preprint
27.47.23
2019-07-01T07:29:00Z
10.1109/SSCI.2017.8285282
Институт космических и информационных технологий
Кафедра информационных систем
IEEE Symposium Series on Computational Intelligence (SSCI) 2017
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