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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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Principais autores: Vanitha Kattumuri, Rage Uday Kiran, Shota Suzuki
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2024-01-01
Serier:IEEE Access
Fag:
Geo-referenced frequent sequential patterns
sequence mining
spatiotemporal data
big data analytics
downward closure property
Online adgang:https://ieeexplore.ieee.org/document/10742358/
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