Interpreting and analyzing a location-based social network by fuzzy formal contexts
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URI (для ссылок/цитирований):
https://ieeexplore.ieee.org/document/8285282/https://elib.sfu-kras.ru/handle/2311/111270
Дата:
2018-02Журнал:
IEEE Symposium Series on Computational Intelligence (SSCI) 2017Квартиль журнала в Scopus:
без квартиляКвартиль журнала в Web of Science:
без квартиляБиблиографическое описание:
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.Текст статьи не публикуется в открытом доступе в соответствии с политикой журнала.
Аннотация:
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.