Dynamic Graph-Based Clustering for Non-Stationary Spatio-Temporal Event Prediction
Cascading spatial temporal pattern mining is the process of getting event as a partial order set of getting space and time in one order pair. The order pairs are disjoint and unique with location constraint. In this article the crime data set and represented the ordered pairs as nodes. The event tha...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/16/e3sconf_icregcsd2025_02006.pdf |
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