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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Auteurs principaux:	Vanitha Kattumuri, Rage Uday Kiran, Shota Suzuki
Format:	Artigo
Langue:	Inglês
Publié:	IEEE 2024-01-01
Collection:	IEEE Access
Sujets:	Geo-referenced frequent sequential patterns sequence mining spatiotemporal data big data analytics downward closure property
Accès en ligne:	https://ieeexplore.ieee.org/document/10742358/
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