Sfoglia per Autore
Parallel Mining of Correlated Heavy Hitters on Distributed and Shared-Memory Architectures
2019-01-01 Pulimeno, M.; Epicoco, I.; Cafaro, M.; Melle, C.; Aloisio, G.
Mining frequent items in unstructured P2P networks
2019-01-01 Cafaro, M.; Epicoco, I.; Pulimeno, M.
CMSS: Sketching based reliable tracking of large network flows
2019-01-01 Cafaro, Massimo; Epicoco, Italo; Pulimeno, Marco
Special Issue on Parallel and Distributed Data Mining
2019-01-01 Cafaro, M.; Epicoco, I.; Pulimeno, M.
UDDSketch: Accurate Tracking of Quantiles in Data Streams
2020-01-01 Epicoco, I.; Melle, C.; Cafaro, M.; Pulimeno, M.; Morleo, G.
On Frequency Estimation and Detection of Heavy Hitters in Data Streams
2020-01-01 Ventruto, Federica; Pulimeno, Marco; Cafaro, Massimo; Epicoco, Italo
Fast online computation of the Qn estimator with applications to the detection of outliers in data streams
2021-01-01 Cafaro, M.; Melle, C.; Pulimeno, M.; Epicoco, I.
Distributed mining of time-faded heavy hitters
2021-01-01 Pulimeno, Marco; Epicoco, Italo; Cafaro, Massimo
Deterministic, Fast and Accurate Solution of the Heavy Hitters q-Tail Latencies Problem
2022-01-01 Fornaio, A.; Epicoco, I.; Pulimeno, M.; Cafaro, M.
AFQN: approximate Qn estimation in data streams
2022-01-01 Epicoco, I.; Melle, C.; Cafaro, M.; Pulimeno, M.
Grid-Based Contraction Clustering in a Peer-to-Peer Network
2023-01-01 Mariani, Antonio; Epicoco, Italo; Cafaro, Massimo; Pulimeno, Marco
Data stream fusion for accurate quantile tracking and analysis
2023-01-01 Cafaro, M.; Melle, C.; Epicoco, I.; Pulimeno, M.
An Adaptive Clustering Approach for Distributed Outlier Detection in Data Streams
2023-01-01 Monaca, A. D.; Cafaro, M.; Pulimeno, M.; Epicoco, I.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Parallel Mining of Correlated Heavy Hitters on Distributed and Shared-Memory Architectures | 1-gen-2019 | Pulimeno, M.; Epicoco, I.; Cafaro, M.; Melle, C.; Aloisio, G. | |
| Mining frequent items in unstructured P2P networks | 1-gen-2019 | Cafaro, M.; Epicoco, I.; Pulimeno, M. | |
| CMSS: Sketching based reliable tracking of large network flows | 1-gen-2019 | Cafaro, Massimo; Epicoco, Italo; Pulimeno, Marco | |
| Special Issue on Parallel and Distributed Data Mining | 1-gen-2019 | Cafaro, M.; Epicoco, I.; Pulimeno, M. | |
| UDDSketch: Accurate Tracking of Quantiles in Data Streams | 1-gen-2020 | Epicoco, I.; Melle, C.; Cafaro, M.; Pulimeno, M.; Morleo, G. | |
| On Frequency Estimation and Detection of Heavy Hitters in Data Streams | 1-gen-2020 | Ventruto, Federica; Pulimeno, Marco; Cafaro, Massimo; Epicoco, Italo | |
| Fast online computation of the Qn estimator with applications to the detection of outliers in data streams | 1-gen-2021 | Cafaro, M.; Melle, C.; Pulimeno, M.; Epicoco, I. | |
| Distributed mining of time-faded heavy hitters | 1-gen-2021 | Pulimeno, Marco; Epicoco, Italo; Cafaro, Massimo | |
| Deterministic, Fast and Accurate Solution of the Heavy Hitters q-Tail Latencies Problem | 1-gen-2022 | Fornaio, A.; Epicoco, I.; Pulimeno, M.; Cafaro, M. | |
| AFQN: approximate Qn estimation in data streams | 1-gen-2022 | Epicoco, I.; Melle, C.; Cafaro, M.; Pulimeno, M. | |
| Grid-Based Contraction Clustering in a Peer-to-Peer Network | 1-gen-2023 | Mariani, Antonio; Epicoco, Italo; Cafaro, Massimo; Pulimeno, Marco | |
| Data stream fusion for accurate quantile tracking and analysis | 1-gen-2023 | Cafaro, M.; Melle, C.; Epicoco, I.; Pulimeno, M. | |
| An Adaptive Clustering Approach for Distributed Outlier Detection in Data Streams | 1-gen-2023 | Monaca, A. D.; Cafaro, M.; Pulimeno, M.; Epicoco, I. |
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