Zobrazeno 1 - 10
of 224
pro vyhledávání: '"CAFARO, Massimo"'
Autor:
Benali, Ahmed Ala Eddine, Cafaro, Massimo, Epicoco, Italo, Pulimeno, Marco, Schioppa, Enrico Junior
Precise energy load forecasting in residential households is crucial for mitigating carbon emissions and enhancing energy efficiency; indeed, accurate forecasting enables utility companies and policymakers, who advocate sustainable energy practices,
Externí odkaz:
http://arxiv.org/abs/2410.16881
UDDSKETCH is a recent algorithm for accurate tracking of quantiles in data streams, derived from the DDSKETCH algorithm. UDDSKETCH provides accuracy guarantees covering the full range of quantiles independently of the input distribution and greatly i
Externí odkaz:
http://arxiv.org/abs/2101.06758
Autor:
Asamoah, Eric Nana, Cafaro, Massimo, Epicoco, Italo, Franceschi, Giorgiana De, Cesaroni, Claudio
Publikováno v:
In Advances in Space Research April 2024
We present UDDSketch (Uniform DDSketch), a novel sketch for fast and accurate tracking of quantiles in data streams. This sketch is heavily inspired by the recently introduced DDSketch, and is based on a novel bucket collapsing procedure that allows
Externí odkaz:
http://arxiv.org/abs/2004.08604
We present FQN (Fast $Q_n$), a novel algorithm for fast detection of outliers in data streams. The algorithm works in the sliding window model, checking if an item is an outlier by cleverly computing the $Q_n$ scale estimator in the current window. W
Externí odkaz:
http://arxiv.org/abs/1910.02459
Autor:
Cafaro, Massimo1 (AUTHOR) italo.epicoco@unisalento.it, Epicoco, Italo1 (AUTHOR), Pulimeno, Marco1 (AUTHOR)
Publikováno v:
Future Internet. Feb2024, Vol. 16 Issue 2, p53. 4p.
Publikováno v:
In Information Fusion January 2023 89:155-165
We present \textsc{P2PTFHH} (Peer--to--Peer Time--Faded Heavy Hitters) which, to the best of our knowledge, is the first distributed algorithm for mining time--faded heavy hitters on unstructured P2P networks. \textsc{P2PTFHH} is based on the \textsc
Externí odkaz:
http://arxiv.org/abs/1812.01450
Large scale decentralized systems, such as P2P, sensor or IoT device networks are becoming increasingly common, and require robust protocols to address the challenges posed by the distribution of data and the large number of peers belonging to the ne
Externí odkaz:
http://arxiv.org/abs/1806.06580
We present PFDCMSS, a novel message-passing based parallel algorithm for mining time-faded heavy hitters. The algorithm is a parallel version of the recently published FDCMSS sequential algorithm. We formally prove its correctness by showing that the
Externí odkaz:
http://arxiv.org/abs/1701.03004