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Real-time Spread Burst Detection in Data Streaming

Proceedings of the ACM on Measurement and Analysis of Computing Systems(2023)10.1145/3589979Source: DataRank Database

Real-time Spread Burst Detection in Data Streaming is a research paper published in Proceedings of the ACM on Measurement and Analysis of Computing Systems (2023). On theSindex it has a DataRank of 0. It has been cited 12 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access12 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 1.93)OA: greenTopics (16)IDs (PubMed, PMC, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (4)

Dimitrios Melissourgos ORCID,Chaoyi Ma ORCID,Shigang Chen ORCID,Haibo Wang ORCID

Live enrichment

PubMed:38716481 PMC:PMC11075074 OpenAlex:https://openalex.org/W4377224210

NSF

Grant: SCC-2124858, CNS-1909077

NIH

Grant: R01 LM014027

NIAAA NIH HHS

Grant: U24 AA029959

FWCI

1.93

Citation Percentile

0.9%

Citation Trend

2022

2023

2024

2025

greenLicense: https://www.acm.org/publications/policies/copyright_policy#Background

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11075074/pdf/nihms-1986148.pdf

publisherhttps://dl.acm.org/doi/10.1145/3589979

publisherhttps://dl.acm.org/doi/pdf/10.1145/3589979

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11075074

Fields of Study

Network Security and Intrusion DetectionData Stream Mining TechniquesPeer-to-Peer Network Technologies

Keywords

Computer scienceReal-time computingOverhead (engineering)IdentifierThe InternetSketchData miningComputer networkWorld Wide WebOperating systemReal-timeData StreamingSpread Burst