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Understanding the Spatio-Temporal Scope of Multi-scale ...
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由 FU Rehman 著作2017被引用 10 次 — This paper presents a novel system that extracts events from social data at different levels of spatio-temporal granularities. The system implements a ...
Understanding the Spatio-Temporal Scope of Multi-scale Social ...
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This paper presents a novel system that extracts events from social data at different levels of spatio-temporal granularities. The system implements a ...
Understanding the Spatio-Temporal Scope of Multi-scale Social ...
Semantic Scholar
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A novel system that extracts events from social data at different levels of spatio-temporal granularities is presented, which implements a hierarchical ...
Understanding the spatio-temporal scope of multi-scale social ...
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Elsevier
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This paper presents a novel system that extracts events from social data at different levels of spatio-temporal granularities. The sys- tem implements a ...
Understanding the spatio-temporal scope of multi-scale social ...
Elsevier
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Elsevier
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Understanding the spatio-temporal scope of multi-scale social events. Faizan Ur Rehman, Imad Afyouni, Ahmed Lbath, Saleh Basalamah. University of Sharjah.
Spatio-temporal event discovery in the big social data era
ACM Digital Library
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由 I Afyouni 著作2020被引用 9 次 — This paper introduces a big data platform for event discovery, while tracking their evolution over space and time.
A Big Data Platform For Spatio-Temporal Social Event ...
ResearchGate
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In this section, we discuss the related work for traffic events detection and analysis. A lot of work on event analysis deal with general events detection ...
A Systematic Review of Multi-Scale Spatio-Temporal Crime ...
MDPI
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MDPI
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由 Y Du 著作2023被引用 14 次 — RTM is a geographic risk assessment method that is effective in identifying and predicting potential risk factors and their spatial impacts based on the ...
Using Multiple Scale Spatio-Temporal Patterns ...
National Institutes of Health (NIH) (.gov)
https://pmc.ncbi.nlm.nih.gov › articles
National Institutes of Health (NIH) (.gov)
https://pmc.ncbi.nlm.nih.gov › articles
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由 JY Kang 著作2019被引用 49 次 — Our approach to using multiple scale spatio-temporal patterns can help not only to understand the dynamic associations between model specifications and model ...
Deep-Eware: spatio-temporal social event detection using a ...
SpringerOpen
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由 I Afyouni 著作2022被引用 22 次 — This paper introduces a new perspective for the hybrid extraction and clustering of social events from big social data streams.