Discovering Spatially Interesting Patterns in Big Geo-Referenced Sequential Databases

Geo referenced time series is a cornerstone in spatiotemporal data analysis, revealing invaluable patterns that drive socio-economic development. Previous studies have modeled these series as transactional databases. However, traditional transactional databases fail to account for the sequential ord...

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Главные авторы:	Vanitha Kattumuri, Rage Uday Kiran, Shota Suzuki
Формат:	Artigo
Язык:	Inglês
Опубликовано:	IEEE 2024-01-01
Серии:	IEEE Access
Предметы:	Geo-referenced frequent sequential patterns sequence mining spatiotemporal data big data analytics downward closure property
Online-ссылка:	https://ieeexplore.ieee.org/document/10742358/
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