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...

詳細記述

書誌詳細

主要な著者:	Vanitha Kattumuri, Rage Uday Kiran, Shota Suzuki
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2024-01-01
シリーズ:	IEEE Access
主題:	Geo-referenced frequent sequential patterns sequence mining spatiotemporal data big data analytics downward closure property
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10742358/
タグ:	タグ追加 タグなし, このレコードへの初めてのタグを付けませんか!