Real-time Incident Classification
Real-Time Incident Classification is an incident classification approach that enables the immediate categorization of security events as they occur, distinguished by its reliance on streaming data analysis and low-latency decision-making to support timely threat response.
14
Publications
769
Citations
68
Authors
24
Institutions
Publications per year
2017–2026
9
Parents
14
Forecasting Spatiotemporal Impact of Traffic Incidents on Road Networks
Bei Pan, Ugur Demiryurek, Cyrus Shahabi et al. · 2013 · 67 citations
Planning, Data Science, Forecasting +16
Real-time incident prediction for online service systems
Nengwen Zhao, Junjie Chen, Zhou Wang et al. · 2020 · 46 citations
1–5 of 14
68
2
h-index
2
h-index
Commonwealth Scientific and Industrial Research Organisation, Australia
2 publications · 52 citations
2
h-index
Second Affiliated Hospital of Dalian Medical University, China
1 publications · 46 citations
1
h-index
1
h-index
1–5 of 68
24
Tsinghua University
Beijing, China
2 h-index
5 publications
182 citations

Data61
Sydney, Australia
2 h-index
8 publications
180 citations

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
2 h-index
8 publications
180 citations
Hewlett-Packard (United States)
Palo Alto, United States
2 h-index
2 publications
80 citations
Instituto Superior Técnico
Lisbon, Portugal
1 h-index
1 publications
32 citations
Austrian Institute of Technology
Vienna, Austria
1 h-index
2 publications
52 citations
Tianjin University
Tianjin, China
1 h-index
1 publications
46 citations
University of Southern California
Los Angeles, United States
1 h-index
3 publications
201 citations
1–8 of 24
TRR · 1 publications · 12 citations
1
h-index
1 publications · 32 citations
1
h-index
1 publications · 314 citations
1
h-index
1 publications · 109 citations
1
h-index
1 publications · 40 citations
1
h-index
1–5