Web1 de jan. de 2024 · Given a multiset Sof N elements from a hierarchical domain D and a count thres hold φ ∈ (0,1), Hierarchical Heavy Hitters (HHH) summarize the distribution of S projected along the hierarchy of D as a set of prefixes P ⊆ D, and are defined inductively as the nodes in the hierarchy such that their “HHH count” exceeds ϕ N, where the HHH … Web28 de ago. de 2024 · This paper examines the challenging problem of learning representations of entities and relations in a complex multi-relational knowledge graph. …
Enabling Fast Hierarchical Heavy Hitter Detection using …
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(PDF) Enabling Fast Hierarchical Heavy Hitter Detection using ...
Websketch-based probabilistic online algorithms for hierarchical heavy hitter detection in one dimension. [18] presents effective techniques for ofine computation of multidimensional heavy hitters. Recently, Cormode et al. [12] proposed an algorithm for multidimensional heavy hitter detection, which is the closest in spirit to our work. We Web27 de abr. de 2024 · Multiple network anomaly detection methods have been proposed to deal with rapidly increasing attacks and network disruptions. The existing hierarchical heavy hitter (HHH) is well studied, but it is still difficult to identify more specifically targeted anomalies, as they tend to be small in volume, thus, buried in the entire traffic. To … Web20 de abr. de 2024 · Hierarchical Heavy Hitter Detection Under Unknown Models. Abstract: We consider the problem of detecting heavy hitters and hierarchical heavy hitters … dewitt concrete post falls idaho