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Spatiotemporal event sequences (STESs) are the ordered series of event types whose evolving region-based instances frequently follow each other in time and are located closeby. Previous studies on STES mining require significance and prevalence thresholds for the discovery, which is usually unknown to domain experts. As the quality of the discovered STESs is of great importance to the domain experts...
In this paper, we introduce methods for mining spatiotemporal event sequences from event datasets with evolving region objects. Spatiotemporal event sequences are the ordered lists of event types whose event instances frequently follow each other in spatiotemporal context. Two Apriori-based algorithms are designed for the task of spatiotemporal event sequence mining. We provide explanations for interestingness...
With the advancements in spatiotemporal co-occurrence pattern and event sequence mining algorithms, spatiotemporal knowledge discovery from solar event datasets has been prominent in solar data mining. This work presents an efficient and extensible data access mechanism specifically designed for spatiotemporal relationships among the solar event instances. Previous indexing strategies primarily focus...
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