Bloom filters are an essential class of probabilistic data structures designed for rapid set membership testing while minimising memory usage. By utilising multiple hash functions, these structures ...
Probabilistic graphs and uncertain data analysis represent a rapidly evolving research domain that seeks to reconcile the inherent imprecision of real-world data with robust computational models. By ...
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