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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Veröffentlicht in:	IEEE access 2024, Vol.12, p.169404-169418
Hauptverfasser:	Kattumuri, Vanitha, Kiran, Rage Uday, Suzuki, Shota
Format:	Artikel
Sprache:	eng
Schlagworte:	big data analytics Data mining downward closure property Geo-referenced frequent sequential patterns Itemsets Rain Reviews Roads sequence mining Spatial databases spatiotemporal data Spatiotemporal phenomena Time series analysis Traffic congestion
Online-Zugang:	Volltext
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